diff --git a/.gitignore b/.gitignore
new file mode 100644
index 000000000..ee105cc33
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,3 @@
+CI_BiodiversityHotspots_Mapped.geojson
+IPCC_ClimateZoneMap_Vector.geojson
+TerrestrialEcoregionsoftheWorld_WWF.geojson
\ No newline at end of file
diff --git a/.ipynb_checkpoints/README-checkpoint.md b/.ipynb_checkpoints/README-checkpoint.md
new file mode 100644
index 000000000..d389873bd
--- /dev/null
+++ b/.ipynb_checkpoints/README-checkpoint.md
@@ -0,0 +1,25 @@
+# Land Sector Datasets
+This Repo is bringing together datasets that can be useful for land sector management. The range of datasets is going beyond what is needed to run FLINT. For each dataset information is provided on content and licence.
+
+
+## Maintainers Reviewers Ambassadors Coaches
+
+The following people are Maintainers Reviewers Ambassadors or Coaches
+
+<table><tr><td align="center"><a href="https://github.com/gmajan"><img src="https://avatars0.githubusercontent.com/u/8733319?v=4" width="100px;" alt="Guy Janssen"/><br /><sub><b>Guy Janssen</b></sub></a><br /><a href="#maintenance-gmajan" title="Maintenance">🚧</a></td><td align="center"><a href="https://github.com/mtbdeligt"><img src="https://avatars3.githubusercontent.com/u/16447169?v=4" width="100px;" alt="mtbdeligt"/><br /><sub><b>mtbdeligt</b></sub></a><br /><a href="https://github.com/moja-global/About-moja-global/commits?author=mtbdeligt" title="Documentation">📖</a></tr></table>
+
+**Maintainers** review and accept proposed changes  
+**Reviewers** check proposed changes before they go to the Maintainers  
+**Ambassadors** are available to provide training related to this repository  
+**Coaches** are available to provide information to new contributors to this repository  
+
+## Processed datasets
+FLINT ready processed vector (json) and raster/grid (tiff) data described in this repo can be downloaded from Moja Global [Land Sector Datasets](https://datasets.mojaglobal.workers.dev/) data library.
+
+### Formats
+To be FLINT ready, vector datasets must be in geoJSON vector format, with no overlapping parts or topological error such as self intersections. Code is provided to systematically process the original data sources into this format, but please note this may change the content of the data e.g. where there are two overlapping polygons with different attribution, one will arbitrarily win over the other. We have also attempted to clean up small gaps and slithers systematically, but it is still recommended that manual checking and editing is completed depending on your project requirements.
+
+To be FLINT ready, rasters or grids must be in tiff or geoTiff format, with the same extent and resolution equal to or a multiple of the overall simulation resolution, padded to the nearest 1 degree lat/lon. These can be mosaic or tiled. We provide gdal code to resample the grids and tiles to different extents and resolutions. There are a range of continous and discrete grids available in the data library.
+
+## Licence information
+Please review individual dataset licence terms and conditions. Please note, while all care has been taken to ensure data is open data available for use, individual datasets will have their own licence conditions and citation requirements.
diff --git a/Data/Administrative/.ipynb_checkpoints/WorldDatabaseProtectedAreas_WDPA-checkpoint.ipynb b/Data/Administrative/.ipynb_checkpoints/WorldDatabaseProtectedAreas_WDPA-checkpoint.ipynb
new file mode 100644
index 000000000..088200d83
--- /dev/null
+++ b/Data/Administrative/.ipynb_checkpoints/WorldDatabaseProtectedAreas_WDPA-checkpoint.ipynb
@@ -0,0 +1,265 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Title: The World Database on Protected Areas (WDPA)\n",
+    "\n",
+    "### Description\n",
+    "The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas. It is a joint project between UN Environment Programme and the International Union for Conservation of Nature (IUCN), and is managed by UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry.The WDPA is updated on a monthly basis, and can be downloaded using the button in the top right of this page.<br>\n",
+    "\n",
+    "As the data collates many different reserve types from many different sources, there are a range of topological issues including significant duplication and overlapping of reserve areas. There are over 150,000 overlapping polygons in the National cateogry alone. To simplify this dataset for use in FLINT, only National reserves are shown, excluding Marine, Regional and International reserve areas.\n",
+    "\n",
+    "### Format\n",
+    "<b>Extent: </b>Global coverage<br>\n",
+    "<b>Format</b>: polygon geoJSON .json<br>\n",
+    "<b>Cordinate system:</b> EPSG:4326 (WGS84)<br>\n",
+    "<b>Temporal Resolution: </b>2020 as at 29/12/2020. Please note, updates to this dataset are likely and will require re-processing for up to date use.<br>\n",
+    "<b>Size:</b>  700MB\n",
+    "\n",
+    "\n",
+    "### Original source\n",
+    "Original Source: https://www.protectedplanet.net/en/thematic-areas/wdpa Accessed 29/12/2020. Shapefile, geodatabase or feature service.\n",
+    "\n",
+    "### FLINT\n",
+    "This dataset has been pre-processed/checked and is suitable for use in FLINT as at 29/12/2020. Please adhere to individual dataset licence conditions and citations. Processed data can be accessed here: https://datasets.mojaglobal.workers.dev/.\n",
+    "\n",
+    "### Licence\n",
+    "Read and accept terms and conditions information here: https://www.protectedplanet.net/en/legal\n",
+    "- Credit source<br>\n",
+    "- Only most recent version can be used <br>\n",
+    "- For Commercial use use subscription via  https://www.ibat-alliance.org/ <br>\n",
+    "- No sub-licensing, No redistribution, No distribution of derivative work, except with permission from protectedareas@unep-wcmc.org<br>\n",
+    "- No publication in downloadable format except with permission from protectedareas@unep-wcmc.org<br>\n",
+    "\n",
+    "See [Additional permissions](https://github.com/moja-global/Land-Sector-Datasets/blob/master/Additional-Permissions/Gmail%20-%20Thank%20you%20for%20useful%20input%20and%20follow%20up.pdf) related to this project.\n",
+    "\n",
+    "### Citation\n",
+    "UNEP-WCMC and IUCN (2020), Protected Planet: The World Database on Protected Areas (WDPA) [Online], September 2020, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net.\n",
+    "\n",
+    "### Original format\n",
+    "Global coverage, vector, shapefile<br>\n",
+    "Cordinate system EPSG: 4326 (WGS84)\n",
+    "\n",
+    "### Metadata\n",
+    "The WDPA is a joint project between UN Environment Programme and the International Union for Conservation of Nature (IUCN). The compilation and management of the WDPA is carried out by UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. There are monthly updates of the data which are made available online through the ProtectedPlanet website where the data is both viewable and downloadable.<br>\n",
+    "\n",
+    "Data and information on the world's protected areas compiled in the WDPA are used for reporting to the Convention on Biological Diversity on progress towards reaching the Aichi Biodiversity Targets (particularly Target 11), to the UN to track progress towards the 2030 Sustainable Development Goals, to some of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) core indicators, and other international assessments and reports including the Global Biodiversity Outlook, as well as for the publication of the United Nations List of Protected Areas. Every two years, UNEP-WCMC releases the Protected Planet Report on the status of the world's protected areas and recommendations on how to meet international goals and targets.<br>\n",
+    "\n",
+    "For more details on the WDPA please read through the [User Manual](http://wcmc.io/WDPA_Manual).\n",
+    "\n",
+    "### Notes\n",
+    "There are significant topological issues in this dataset including significant duplication and overlapping of reserve area types (National, International, Regional and Marine). Reserve areas vary from stratigh eco protection to sustainable game management and indigenous lands. To simplify this dataset for use in FLINT, only National reserves are included, excluding Marine, Regional and International reserve areas. Reserves are then split into IUCN Cateogory. Processing time is lengthy as the dataset is 200,000+ attributes. Processing this layer to suit your individual project needs is recommended.\n",
+    "\n",
+    "Gaps and overlaps are evident and can be fixed with code below.  Please note, only gaps smaller than 0.1ha will be fixed as gaps larger than this could be valid.\n",
+    "\n",
+    "### Processing\n",
+    "Query National Reserves only and non-marine. Repair geometry, fix topologial error (remove overlaps), convert to geojson, EPSG:4326 (WGS84), remove/disable Z values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import arcpy module\n",
+    "import arcpy\n",
+    "import os\n",
+    "\n",
+    "# Input variables\n",
+    "in_folder = r\"C:\\Data\\WDPA\"\n",
+    "scr_folder = r\"C:\\Data\\scratch.gdb\"\n",
+    "out_folder = r\"C:\\Data\\json\"\n",
+    "field = \"NAME IS NULL or WDPA_PID = ''\" #field that will be blank on appended gaps (any field will do)\n",
+    "smallest = \"1000\"\n",
+    "\n",
+    "# Input variables\n",
+    "in_folder = r\"C:\\Data\\WDPA\"\n",
+    "out_folder = r\"C:\\Data\\json\"\n",
+    "fullfield = \"NAME\" #this needs to be a field in the original table that is fully populated\n",
+    "smallest = \"20000\" #smallest area to be fixed in m2 - gaps and slithers\n",
+    "scr = arcpy.CreateFileGDB_management(out_folder, \"scratch\")\n",
+    "scr_folder = os.path.join(out_folder, \"scratch.gdb\")\n",
+    "\n",
+    "# Environments\n",
+    "workspace = in_folder\n",
+    "arcpy.env.workspace = workspace\n",
+    "arcpy.env.outputCoordinateSystem = arcpy.SpatialReference(4326)\n",
+    "arcpy.env.outputZFlag = \"Disabled\"\n",
+    "arcpy.env.overwriteOutput = True\n",
+    "field = fullfield + \" IS NULL or \" + fullfield + \" = ''\"\n",
+    "arcpy.env.parallelProcessingFactor = \"100%\"\n",
+    "\n",
+    "# List features to process\n",
+    "featureclasses = arcpy.ListFeatureClasses()\n",
+    "print(featureclasses)\n",
+    "\n",
+    "# Repair/check topology and make FLINT ready\n",
+    "for fc in featureclasses:\n",
+    "    fcname = os.path.join(os.path.splitext(fc)[0])\n",
+    "    outjson = os.path.join(out_folder, fcname)\n",
+    "    whereclause = \"FID_\" + fcname + \" =-1 AND AREA_GEO <= \" + smallest\n",
+    "    print(fcname + ' processing...')\n",
+    "    \n",
+    "    fLayer = \"project_Layer\"\n",
+    "    arcpy.management.MakeFeatureLayer(fc, fLayer)\n",
+    "    geomRepair = arcpy.management.RepairGeometry(fLayer, \"DELETE_NULL\", \"OGC\")[0]\n",
+    "    arcpy.management.DeleteIdentical(fLayer, \"Shape\")\n",
+    "    \n",
+    "    projectIntersect = os.path.join(scr_folder, \"projectIntersect\")\n",
+    "    arcpy.analysis.Intersect(fLayer, projectIntersect, \"ONLY_FID\")\n",
+    "    \n",
+    "    projectSingle = os.path.join(scr_folder, \"projectSingle\")\n",
+    "    arcpy.management.MultipartToSinglepart(projectIntersect, projectSingle)\n",
+    "\n",
+    "    dissolveSlither = os.path.join(scr_folder, \"dissolveSlither\")\n",
+    "    arcpy.management.Dissolve(projectSingle, dissolveSlither, None, None,\"SINGLE_PART\")\n",
+    "    \n",
+    "    # Take action if no overlaps\n",
+    "    if arcpy.management.GetCount(dissolveSlither)[0] == \"0\":\n",
+    "        print('no overlaps detected...checking for gaps...')\n",
+    "        \n",
+    "        projectUnion = os.path.join(scr_folder, \"projectUnion\")\n",
+    "        arcpy.analysis.Union(fLayer,projectUnion, \"ALL\", None, \"NO_GAPS\")\n",
+    "        \n",
+    "        unionSingle = os.path.join(scr_folder, \"unionSingle\")\n",
+    "        arcpy.management.MultipartToSinglepart(projectUnion, unionSingle)\n",
+    "        \n",
+    "        arcpy.management.DeleteIdentical(unionSingle, \"Shape\")\n",
+    "        arcpy.management.AddGeometryAttributes(unionSingle, \"AREA_GEODESIC\", None, \"SQUARE_METERS\")\n",
+    "        \n",
+    "        \n",
+    "        uniSelect = os.path.join(scr_folder, \"uniSelect\")\n",
+    "        arcpy.analysis.Select(unionSingle, uniSelect, whereclause)\n",
+    "        \n",
+    "        if arcpy.management.GetCount(uniSelect)[0] == \"0\":\n",
+    "                     \n",
+    "            # Progress report no error\n",
+    "            print(fcname, 'No gaps and overlaps. Repairing geometry and conversion to json...')\n",
+    "    \n",
+    "            # Process: Repair Geometry (non-simple geometry)\n",
+    "            geomRepair = arcpy.management.RepairGeometry(fLayer, \"DELETE_NULL\", \"OGC\")[0]\n",
+    "\n",
+    "            # Process: Features To JSON\n",
+    "            arcpy.conversion.FeaturesToJSON(fLayer, outjson, \"NOT_FORMATTED\", \"NO_Z_VALUES\", \"NO_M_VALUES\", \"GEOJSON\", \"WGS84\", \"USE_FIELD_NAME\")\n",
+    "\n",
+    "            print(outjson, '.geojson complete')\n",
+    "            \n",
+    "        else:\n",
+    "            # Take action if gaps\n",
+    "            print('gaps detected')\n",
+    "\n",
+    "            appendGap = arcpy.management.Append(uniSelect, fLayer, \"NO_TEST\")     \n",
+    "            selectGap = arcpy.management.SelectLayerByAttribute(fLayer, \"NEW_SELECTION\", field)\n",
+    "\n",
+    "            fixedlyr = os.path.join(scr_folder, \"fixedlyr\")\n",
+    "            arcpy.management.Eliminate(selectGap, fixedlyr, \"LENGTH\")\n",
+    "\n",
+    "            # Progress report \n",
+    "            print(fcname, 'No overlaps but gaps detected and repaired. Repairing geometry and conversion to json...')\n",
+    "\n",
+    "            # Process: Repair Geometry (non-simple geometry)\n",
+    "            geomRepair = arcpy.management.RepairGeometry(fixedlyr, \"DELETE_NULL\", \"OGC\")[0]\n",
+    "\n",
+    "            # Process: Features To JSON\n",
+    "            arcpy.conversion.FeaturesToJSON(fixedlyr, outjson, \"NOT_FORMATTED\", \"NO_Z_VALUES\", \"NO_M_VALUES\", \"GEOJSON\", \"WGS84\", \"USE_FIELD_NAME\")\n",
+    "\n",
+    "\n",
+    "    else:\n",
+    "        print('Overlaps detected...')\n",
+    "        # Fix overlaps\n",
+    "        projectErase = os.path.join(scr_folder, \"projectErase\")\n",
+    "        arcpy.analysis.Erase(fLayer, dissolveSlither, projectErase)\n",
+    "        \n",
+    "        arcpy.management.Append(dissolveSlither, projectErase, \"NO_TEST\")\n",
+    "    \n",
+    "        selectSlither = arcpy.management.SelectLayerByAttribute(projectErase, \"NEW_SELECTION\",  field)\n",
+    "        \n",
+    "        eliminateSlither = os.path.join(scr_folder, \"eliminateSlither\")\n",
+    "        arcpy.management.Eliminate(selectSlither, eliminateSlither, \"LENGTH\")\n",
+    "        \n",
+    "        print('Overlaps detected and fixed...checking for gaps...')\n",
+    "        \n",
+    "        projectUnion = os.path.join(scr_folder, \"projectUnion\")\n",
+    "        arcpy.analysis.Union(eliminateSlither, projectUnion, \"ALL\", None, \"NO_GAPS\")\n",
+    "        \n",
+    "        unionSingle = os.path.join(scr_folder, \"unionSingle\")\n",
+    "        arcpy.management.MultipartToSinglepart(projectUnion, unionSingle)\n",
+    "        arcpy.management.DeleteIdentical(unionSingle, \"Shape\")\n",
+    "                                         \n",
+    "        arcpy.management.AddGeometryAttributes(unionSingle, \"AREA_GEODESIC\", None, \"SQUARE_METERS\")\n",
+    "        \n",
+    "        uniSelect = os.path.join(scr_folder, \"uniSelect\")\n",
+    "        whereUnion= \"FID_eliminateSlither = -1 AND AREA_GEO <= \" + smallest\n",
+    "        arcpy.analysis.Select(unionSingle, uniSelect, whereUnion)\n",
+    "        \n",
+    "        if arcpy.management.GetCount(uniSelect)[0] == \"0\":\n",
+    "            \n",
+    "            # Progress report no error\n",
+    "            print(fcname, ' No gaps detected. Repairing geometry and conversion to json...')\n",
+    "    \n",
+    "            # Process: Repair Geometry (non-simple geometry)\n",
+    "            geomRepair = arcpy.management.RepairGeometry(eliminateSlither, \"DELETE_NULL\", \"OGC\")[0]\n",
+    "\n",
+    "            # Process: Features To JSON\n",
+    "            arcpy.conversion.FeaturesToJSON(eliminateSlither, outjson, \"NOT_FORMATTED\", \"NO_Z_VALUES\", \"NO_M_VALUES\", \"GEOJSON\", \"WGS84\", \"USE_FIELD_NAME\")\n",
+    "\n",
+    "            print(outjson, '.geojson complete')\n",
+    "            \n",
+    "        else:\n",
+    "            # Take action if gaps\n",
+    "            appendGap = arcpy.management.Append(uniSelect, eliminateSlither, \"NO_TEST\")\n",
+    "            \n",
+    "            selectGap = arcpy.management.SelectLayerByAttribute(eliminateSlither, \"NEW_SELECTION\",  field)\n",
+    "            \n",
+    "            fixedlyr = os.path.join(scr_folder, \"fixedlyr\")\n",
+    "            \n",
+    "            arcpy.management.Eliminate(selectGap, fixedlyr, \"LENGTH\")\n",
+    "            \n",
+    "            print('gaps detected and repaired')\n",
+    "            \n",
+    "            # Progress report\n",
+    "            print(fcname, 'Gaps and overlaps fixed. Repairing geometry and conversion to json...')\n",
+    "            \n",
+    "            # Process: Repair Geometry (non-simple geometry)\n",
+    "            geomRepair = arcpy.management.RepairGeometry(fixedlyr, \"DELETE_NULL\", \"OGC\")[0]\n",
+    "        \n",
+    "            \n",
+    "            # Process: Features To JSON\n",
+    "            arcpy.conversion.FeaturesToJSON(fixedlyr, outjson, \"NOT_FORMATTED\", \"NO_Z_VALUES\", \"NO_M_VALUES\", \"GEOJSON\", \"WGS84\", \"USE_FIELD_NAME\")\n",
+    "            print(outjson)\n",
+    "\n",
+    "            # Process: Features To JSON\n",
+    "            arcpy.conversion.FeaturesToJSON(fixedlyr, outjson, \"NOT_FORMATTED\", \"NO_Z_VALUES\", \"NO_M_VALUES\", \"GEOJSON\", \"WGS84\", \"USE_FIELD_NAME\")\n",
+    "\n",
+    "arcpy.management.Delete(scr_folder)\n",
+    "\n",
+    "arcpy.AddMessage(\"All done!\")\n",
+    "print('done')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Data/Climate/.ipynb_checkpoints/IPCC_ClimateZoneMap-checkpoint.ipynb b/Data/Climate/.ipynb_checkpoints/IPCC_ClimateZoneMap-checkpoint.ipynb
new file mode 100644
index 000000000..6d197d363
--- /dev/null
+++ b/Data/Climate/.ipynb_checkpoints/IPCC_ClimateZoneMap-checkpoint.ipynb
@@ -0,0 +1,98 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Title:  IPCC Climate Zone Map\n",
+    "\n",
+    "### Description\n",
+    "The Climatic Zone layer is defined based on the classification of IPCC (IPCC, 2006). The zones are defined by a set of rules based on:<br>\n",
+    "\n",
+    "- annual mean daily temperature,\n",
+    "- total annual precipitation,\n",
+    "- total annual potential evapo-transpiration (PET) and\n",
+    "- elevation.<br>\n",
+    "\n",
+    "The classification presented as Figure 3A.5.1 Classification scheme for default climate regions” (IPCC, 2006) could not be accessed in electronic form and generated from an independently developed set of base data layers. Climatic information on temperature and precipitation was provided by the 5 arc min. dataset Version 1.4 from the WorldClim project (Hijmans et al., 2005). PET was computed according to the temperature-based formula investigated by Oudin et al. (2005) and used by Kay & Davis (2008). The computation of the extraterrestrial radiation was based on Duffie & Beckman (1991) and Allen et al. (1994). The formulas were supplemented by the information provided by the “Solar Radiation Basis” Web-page of the University of Oregon: http://solardat.uoregon.edu/SolarRadiationBasics.html.\n",
+    "\n",
+    "### FLINT\n",
+    "This dataset has been checked/pre-processed and is suitable for use in FLINT. Please adhere to individual dataset licence conditions and citations. Processed data can be accessed here: [Land Sector Datasets](https://datasets.mojaglobal.workers.dev/) https://datasets.mojaglobal.workers.dev/<br>\n",
+    "\n",
+    "### Format\n",
+    "<b>Extent: </b>Global coverage<br>\n",
+    "<b>Resolution:</b> Raster 0.05-degree resolution (this can be resampled to any resolution)<br>\n",
+    "<b>File type:</b> geotiff (.tif) and geojson (.json)<br>\n",
+    "<b>Cordinate system:</b> EPSG:4326 (WGS84)<br>\n",
+    "<b>Year: </b>2006<br>\n",
+    "<b>Size:</b> 24MB<br>\n",
+    "\n",
+    "### Original source\n",
+    "Downloaded from: https://esdac.jrc.ec.europa.eu/projects/RenewableEnergy/ Accessed 20/12/2020.<br>\n",
+    "Raster .rst 0.0833333333333333 degree pixels<br>\n",
+    "\n",
+    "### Licence\n",
+    "Creative Commons Attribution 4.0 International License\n",
+    "\n",
+    "### Citation\n",
+    "Intergovernmental Panel on Climate Change, (IPCC), (2006)., 2006 IPCC Guidelines for National Greenhouse Gas Inventories Volume 4: Agriculture, Forestry and Other Land Use. Available at: https://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html\n",
+    "\n",
+    "### Metadata\n",
+    "More information: https://esdac.jrc.ec.europa.eu/projects/RenewableEnergy/\n",
+    "Value\tClass_name<br>\n",
+    "1\tWarm Temperate Moist<br>\n",
+    "2\tWarm Temperate Dry<br>\n",
+    "3\tCool Temperate Moist<br>\n",
+    "4\tCool Temperate Dry<br>\n",
+    "5\tPolar Moist<br>\n",
+    "6\tPolar Dry<br>\n",
+    "7\tBoreal Moist<br>\n",
+    "8\tBoreal Dry<br>\n",
+    "9\tTropical Montane<br>\n",
+    "\n",
+    "### Notes\n",
+    "Both raster and vector versions provided.\n",
+    "\n",
+    "\n",
+    "### Processing\n",
+    "Dataset converted to tiff, projection WGS84, and converted to vector (note Value and Class_name table above to matach codes. Code is provided below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Convert from .rst to tif and apply WGS84 and resample to 0.005\n",
+    "gdalwarp -t_srs EPSG:4326 -dstnodata 255.0 -tr 0.05 0.05 -r near -te -180.0 -90.0 180.0 90.0 -te_srs EPSG:4326 -of GTiff \"C:/Data/CLIMATE_ZONE.rst\" \"C:/Data/IPCC_ClimateZoneMap.tif\"\n",
+    "\n",
+    "# Convert to polygon\n",
+    "python3 -m gdal_polygonize C:/Data/tiff/IPCC_ClimateZoneMap.tif C:/Data/tiff/IPCC_ClimateZoneMap.geojson -b 1 -f \"GeoJSON\" IPCC_ClimateZoneMap CLASS_NAME        \n",
+    "\n",
+    "# Check Topology - Run fix geometries in QGIS"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Data/Climate/.ipynb_checkpoints/KoppenGeigerClimateChanges1901_2100-checkpoint.ipynb b/Data/Climate/.ipynb_checkpoints/KoppenGeigerClimateChanges1901_2100-checkpoint.ipynb
new file mode 100644
index 000000000..a26120be3
--- /dev/null
+++ b/Data/Climate/.ipynb_checkpoints/KoppenGeigerClimateChanges1901_2100-checkpoint.ipynb
@@ -0,0 +1,192 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Title: Koppen-Geiger Climate Changes - 1901 - 2100\n",
+    "\n",
+    "### Description\n",
+    "Köppen climate classification is a widely used vegetation-based empirical climate classification system developed by German botanist-climatologist Wladimir Köppen. It's based on the idea that climate is best defined by native vegetation. This particular version of Köppen-Geiger shows the changes in the climate regions and biomes over time (from 1901 - 2100) using observations for 1901 - 2000 and the A1F1 IPCC climate scenario for 2001 - 2100. A1F1 is the worst case scenario future projection for climate change modeling. You can find out more information on how this was made by visiting World Maps of Köppen-Geiger Climate Classisification website.\n",
+    "\n",
+    "### FLINT\n",
+    "This dataset has been pre-processed/checked and is suitable for use in FLINT. Please adhere to individual dataset licence conditions and citations. Processed data can be accessed here: https://datasets.mojaglobal.workers.dev/ <br>\n",
+    "\n",
+    "### Format\n",
+    "<b>Extent: </b>Global coverage<br>\n",
+    "<b>Format</b>: polygon geoJSON .json<br>\n",
+    "<b>Cordinate system:</b> EPSG:4326 (WGS84)<br>\n",
+    "<b>Temporal Resolution: </b>1901-2100<br>\n",
+    "<b>Size:</b> 40 MB <br>\n",
+    "\n",
+    "### Original source\n",
+    "Original Source: http://koeppen-geiger.vu-wien.ac.at/shifts.htm or https://sos.noaa.gov/datasets/koppen-geiger-climate-changes-1901-2100/ Accessed 13/12/2020 <br>\n",
+    "Viewer: https://www.arcgis.com/home/item.html?id=7a53584fa55643df969f93cec83788e1\n",
+    "\n",
+    "### Licence\n",
+    "Only non-commercial scientific or educational use. Please attribute using citation.\n",
+    "\n",
+    "### Citation\n",
+    "Rubel, F., and M. Kottek, 2010: Observed and projected climate shifts 1901-2100 depicted by world maps of the Köppen-Geiger climate classification. Meteorol. Z. , 19, 135-141. DOI: 10.1127/0941-2948/2010/0430. http://koeppen-geiger.vu-wien.ac.at/pdf/Paper_2010.pdf\n",
+    "\n",
+    "### Original format\n",
+    "Global coverage, vector, shapefile<br>\n",
+    "Cordinate system: Bassel\n",
+    "\n",
+    "### Metadata\n",
+    "http://koeppen-geiger.vu-wien.ac.at/shifts.htm or https://sos.noaa.gov/datasets/koppen-geiger-climate-changes-1901-2100/ <br>\n",
+    "Climate scenarios available <br>\n",
+    "Observed:    1901-1925    1926-1950    1951-1975    1976-2000<br>\n",
+    "A1FI:    2001-2025    2026-2050    2051-2075    2076-2100<br>\n",
+    "A2:    2001-2025    2026-2050    2051-2075    2076-2100<br>\n",
+    "B1:    2001-2025    2026-2050    2051-2075    2076-2100<br>\n",
+    "B2:    2001-2025    2026-2050    2051-2075    2076-2100<br>\n",
+    "Each contains vector data for the respective period and emission scenario. Use the scheme below to convert the integers to climate classes:<br>\n",
+    "11 ... Af<br>\n",
+    "12 ... Am<br>\n",
+    "13 ... As<br>\n",
+    "14 ... Aw<br>\n",
+    "21 ... BWk<br>\n",
+    "22 ... BWh<br>\n",
+    "26 ... BSk<br>\n",
+    "27 ... BSh<br>\n",
+    "31 ... Cfa<br>\n",
+    "32 ... Cfb<br>\n",
+    "33 ... Cfc<br>\n",
+    "34 ... Csa<br>\n",
+    "35 ... Csb<br>\n",
+    "36 ... Csc<br>\n",
+    "37 ... Cwa<br>\n",
+    "38 ... Cwb<br>\n",
+    "39 ... Cwc<br>\n",
+    "41 ... Dfa<br>\n",
+    "42 ... Dfb<br>\n",
+    "43 ... Dfc<br>\n",
+    "44 ... Dfd<br>\n",
+    "45 ... Dsa<br>\n",
+    "46 ... Dsb<br>\n",
+    "47 ... Dsc<br>\n",
+    "48 ... Dsd<br>\n",
+    "49 ... Dwa<br>\n",
+    "50 ... Dwb<br>\n",
+    "51 ... Dwc<br>\n",
+    "52 ... Dwd<br>\n",
+    "61 ... EF<br>\n",
+    "62 ... ET<br>\n",
+    "\n",
+    "### Notes\n",
+    "The original layers contain topological errors (non-simple geometry) - and an overlapping region at the international time/date line in three of the climate models that are fixed in the json using the below code. Also note, some scenario datasets are simplified polygon type converted from grid, others are direct polygon conversion from grid - as per original downloaded 19/12/2020. Gaps in data are water bodies and are valid.\n",
+    "\n",
+    "### Processing\n",
+    "Repair geometry, fix topologial error (remove overlaps), convert to geojson, EPSG:4326 (WGS84), remove/disable Z values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import arcpy\n",
+    "import os\n",
+    "\n",
+    "#folder of feature classes to process\n",
+    "in_folder = r\"C:\\data\\KoeppenGeiger\\all\"\n",
+    "scr_folder = r\"C:\\data\\scratch.gdb\"\n",
+    "out_folder = r\"C:\\data\\json\\KoeppenGeiger\"\n",
+    "\n",
+    "# Set environments\n",
+    "workspace = in_folder\n",
+    "arcpy.env.workspace = workspace\n",
+    "arcpy.env.outputCoordinateSystem = arcpy.SpatialReference(4326)\n",
+    "arcpy.env.outputZFlag = \"Disabled\"\n",
+    "arcpy.env.overwriteOutput = True\n",
+    "\n",
+    "# Execute CreateFileGDB\n",
+    "if os.path.exists(r\"C:\\data\\scratch.gdb\"):\n",
+    "    arcpy.Delete_management(r\"C:\\data\\scratch.gdb\")\n",
+    "    scr = arcpy.CreateFileGDB_management(r\"C:\\data\", \"scratch\")\n",
+    "\n",
+    "featureclasses = arcpy.ListFeatureClasses()\n",
+    "print(featureclasses)\n",
+    "\n",
+    "# Iterate through all datasets, repair and convert to json\n",
+    "for fc in featureclasses:\n",
+    "    fcname = os.path.join(os.path.splitext(fc)[0])\n",
+    "    outjson = os.path.join(out_folder, fcname)\n",
+    "    \n",
+    "    # Process: Make Feature Layer\n",
+    "    fLayer = \"project_Layer\"\n",
+    "    arcpy.management.MakeFeatureLayer(fc, fLayer)\n",
+    "\n",
+    "    # Process: Union - fill gaps and find overlaps\n",
+    "    projectIntersect = os.path.join(scr_folder, \"projectIntersect\")\n",
+    "    arcpy.analysis.Intersect(fLayer, projectIntersect, \"ONLY_FID\")\n",
+    "\n",
+    "    # Process: Multipart To Singlepart - explode into single parts\n",
+    "    projectSingle = os.path.join(scr_folder, \"projectSingle\")\n",
+    "    arcpy.management.MultipartToSinglepart(projectIntersect, projectSingle)\n",
+    "\n",
+    "    # Process: Select - select overlaps and slithers smaller than 0.00001 degrees (this may need to be checked)\n",
+    "    intSelect = os.path.join(scr_folder, \"intSelect\")\n",
+    "    arcpy.analysis.Select(projectSingle, intSelect)\n",
+    "\n",
+    "    # Process: Dissolve - dissolve slithers and overlaps to single features\n",
+    "    dissolveSlither = os.path.join(scr_folder, \"dissolveSlither\")\n",
+    "    arcpy.management.Dissolve(intSelect, dissolveSlither, None, None,\"SINGLE_PART\")\n",
+    "\n",
+    "    # Process: Erase overlaps\n",
+    "    removeSlither = os.path.join(scr_folder, \"removeSlither\")\n",
+    "    arcpy.analysis.Erase(fLayer, dissolveSlither, removeSlither)\n",
+    "\n",
+    "    # Process: Append small slithers and gap fills to be merged into coincident polygons with largest boundary\n",
+    "    appendSlither = arcpy.management.Append(dissolveSlither, removeSlither, \"NO_TEST\")\n",
+    "\n",
+    "    # Process: Eliminate slither by merge into coincident polygons with largest boundary\n",
+    "    eliminateSlither = os.path.join(scr_folder, \"eliminateSlither\")\n",
+    "    selectSlither = arcpy.management.SelectLayerByAttribute(appendSlither, \"NEW_SELECTION\", \"OBJECTID IS NULL\")\n",
+    "    arcpy.management.Eliminate(selectSlither, eliminateSlither, \"LENGTH\")\n",
+    "    print(fcname, ' repairing...')\n",
+    "\n",
+    "    # Process: Repair Geometry (non-simple geometry)\n",
+    "    geomRepair = arcpy.management.RepairGeometry(eliminateSlither, \"DELETE_NULL\", \"OGC\")[0]\n",
+    "\n",
+    "    # Process: Features To JSON\n",
+    "    arcpy.conversion.FeaturesToJSON(eliminateSlither, outjson, \"NOT_FORMATTED\", \"NO_Z_VALUES\", \"NO_M_VALUES\", \"GEOJSON\", \"WGS84\", \"USE_FIELD_NAME\")\n",
+    "    print(outjson, '.geojson complete')\n",
+    "    \n",
+    "\n",
+    "arcpy.AddMessage(\"All done!\")\n",
+    "print('done')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Data/Climate/IPCC_ClimateZoneMap.ipynb b/Data/Climate/IPCC_ClimateZoneMap.ipynb
index 6d197d363..8e757f855 100644
--- a/Data/Climate/IPCC_ClimateZoneMap.ipynb
+++ b/Data/Climate/IPCC_ClimateZoneMap.ipynb
@@ -76,7 +76,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -90,7 +90,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Data/Climate/KoppenGeigerClimateChanges1901_2100.ipynb b/Data/Climate/KoppenGeigerClimateChanges1901_2100.ipynb
index a26120be3..e15a971f3 100644
--- a/Data/Climate/KoppenGeigerClimateChanges1901_2100.ipynb
+++ b/Data/Climate/KoppenGeigerClimateChanges1901_2100.ipynb
@@ -170,7 +170,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -184,7 +184,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Data/Soil/.ipynb_checkpoints/WorldSoilResources_FAO-checkpoint.ipynb b/Data/Soil/.ipynb_checkpoints/WorldSoilResources_FAO-checkpoint.ipynb
new file mode 100644
index 000000000..51c639d54
--- /dev/null
+++ b/Data/Soil/.ipynb_checkpoints/WorldSoilResources_FAO-checkpoint.ipynb
@@ -0,0 +1,110 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Title: World Soil Resources Base Map FAO 2014\n",
+    "\n",
+    "### Description\n",
+    "The World Resource Base Map of World Soil Resources is available at 1:25 000 000 scale. This is the most general digital map of the World's soils, now using the international standard soil classification WRB. Available as a graphic or digital coverage.\n",
+    "Soil Type underpins the processes for estimating the changes in SOC as a result of changes to land use. Soil Type, when used in conjunction with climate data, is used for determining the IPCC Tier 1 SOC reference levels.\n",
+    "\n",
+    "### FLINT\n",
+    "This dataset has been pre-processed/checked and is suitable for use in FLINT. Please adhere to individual dataset licence conditions and citations. Processed data can be accessed here: https://datasets.mojaglobal.workers.dev/\n",
+    "\n",
+    "### Original source\n",
+    "Original spatial data sourced from: http://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/other-global-soil-maps-and-databases/\n",
+    "World Soil Resources Coverage in Geographic Projection (ARC/Info Export format) \"wsrll\"\n",
+    "Reports: http://www.fao.org/soils-portal/data-hub/soil-classification/world-reference-base/en/\n",
+    "\n",
+    "### Licence\n",
+    "FAO encourages the use, reproduction and dissemination of material in this information product. Except where otherwise indicated, material may be copied, downloaded and printed for private study, research and teaching purposes, or for use in non-commercial products or services, provided that appropriate acknowledgement of FAO as the source and copyright holder is given and that FAO’s endorsement of users’ views, products or services is not implied in any way.\n",
+    "\n",
+    "### Citation\n",
+    "IUSS Working Group WRB. 2015. World Reference Base for Soil Resources 2014, update 2015. International soil classification system for naming soils and creating legends for soil maps. World Soil Resources Reports No. 106. FAO, Rome.\n",
+    "\n",
+    "### Format\n",
+    "Global coverage, vector, .geojson\n",
+    "Cordinate system EPSG: 4326 (WGS84)\n",
+    "Size: 237 MB\n",
+    "\n",
+    "### Metadata\n",
+    "http://www.fao.org/geonetwork/srv/en/main.home?uuid=2fb209d0-fd34-4e5e-a3d8-a13c241eb61b#\n",
+    "tags: climate , FRA , forests , ecological zone , land cover\n",
+    "\n",
+    "### Notes\n",
+    "Note the vector data is coarse resolution in some instances, with some detail in coastlines and some islands missing.\n",
+    "\n",
+    "### Processing\n",
+    "Repair geometry, fix topologial error (remove overlaps), convert to geojson, EPSG:4326 (WGS84), remove/disable Z values. View code below - originally processed in ArcGIS but can be converted to open source QGIS or GDAL (or others)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import arcpy module\n",
+    "import arcpy\n",
+    "\n",
+    "# Local variables:\n",
+    "in_shp = r\"C:/Users/LennyJenny/Documents/ArcGIS/world/UNFCCC/downloads/test/wsrll.shp\"\n",
+    "Output_Coordinate_System = \"GCS_WGS_1984\"\n",
+    "output = \"C:/data/WorldSoilResources.geojson\"\n",
+    "\n",
+    "# output topological fix shapefile if topological error (optional)\n",
+    "in_shp_fix = r\"C:/data/wsrll_fix.shp\"\n",
+    "\n",
+    "# Set environments\n",
+    "arcpy.env.workspace = \"c:/data\"\n",
+    "arcpy.env.outputCoordinateSystem = arcpy.SpatialReference(4326)\n",
+    "arcpy.env.outputZFlag = \"Disabled\"\n",
+    "\n",
+    "# Process: Repair Geometry to remove self intersections and non-simple geometry\n",
+    "arcpy.RepairGeometry_management(in_shp, \"DELETE_NULL\")\n",
+    "\n",
+    "# Process: Count Overlapping Features to determine topological error\n",
+    "# Where count<2 = topological error which will require manual fix or batch clip overlapping areas\n",
+    "countname = r\"C:/data/overlap_count.shp\"\n",
+    "arcpy.analysis.CountOverlappingFeatures(in_shp, countname, min_overlap_count=2)\n",
+    "\n",
+    "# Process: Topoloogical fix: Find overlaps and clip from layer (non-manual, will produce gaps, this can be coded to not leave gaps later)\n",
+    "arcpy.analysis.Intersect(in_shp, \"in_memory/intersectbits\")\n",
+    "arcpy.analysis.Clip(in_shp, \"in_memory/intersectbits\", in_shp_fix)\n",
+    "\n",
+    "# Process: Features To JSON\n",
+    "arcpy.FeaturesToJSON_conversion(input, output, \"NOT_FORMATTED\", \"NO_Z_VALUES\", \"NO_M_VALUES\", \"GEOJSON\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Data/Soil/WorldSoilResources_FAO.ipynb b/Data/Soil/WorldSoilResources_FAO.ipynb
index 51c639d54..456d4590c 100644
--- a/Data/Soil/WorldSoilResources_FAO.ipynb
+++ b/Data/Soil/WorldSoilResources_FAO.ipynb
@@ -88,7 +88,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -102,7 +102,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.9"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Oureachy_Naz_Task2/.ipynb_checkpoints/Naz_SDG_Mapping_Prototype_Documentation_Task2-checkpoint.md b/Oureachy_Naz_Task2/.ipynb_checkpoints/Naz_SDG_Mapping_Prototype_Documentation_Task2-checkpoint.md
new file mode 100644
index 000000000..e4fab5f3e
--- /dev/null
+++ b/Oureachy_Naz_Task2/.ipynb_checkpoints/Naz_SDG_Mapping_Prototype_Documentation_Task2-checkpoint.md
@@ -0,0 +1,36 @@
+# Sustainable Development Goals (SDG) Mapping Prototype
+
+This prototype provides a comprehensive overview of the mapping process, encompassing the dataset specifics, attributes under scrutiny, the reasoning behind the mapping, and the resultant findings. Within this document, we will employ datasets from diverse land sectors to delineate prototype mappings for the SDGs.
+
+In this prototype, the focus will be on these three SDGs below in relation to the chosen Datasets (Global Biodiversity Hotspot dataset, World Protected Areas dataset, and Climate dataset);
+### - Global Biodiversity Hotspot Dataset - SDG 15 (Life on Land) and SDG 14 (Life Below Water)
+#### Dataset Attributes: 
+The dataset utilized in this analysis has been responsibly provided by Conservation International (CI), a globally recognized environmental organization committed to safeguarding and preserving natural habitats and biodiversity on a global scale.
+
+#### Mapping Explanation:
+The datasets included here hold particular relevance to two key Sustainable Development Goals (SDGs); the first is SDG 15 - Life on Land: This dataset contributes to SDG 15, which focuses on protecting and restoring life on land, including terrestrial ecosystems and biodiversity. The information contained within these datasets aids in the assessment and preservation of critical terrestrial habitats, which is essential for achieving SDG 15's objectives. The second is SDG 14 - Life Below Water: While the dataset primarily addresses terrestrial ecoregions, it indirectly impacts SDG 14 as well. The health of terrestrial ecosystems influences the quality and sustainability of adjacent marine environments, highlighting the interconnectedness of terrestrial and aquatic life. Protecting land-based habitats can have positive ripple effects on life below water, making it relevant to SDG 14.
+
+By mapping and analyzing the world's biodiversity hotspots and ecoregions, these datasets play a vital role in advancing these Sustainable Development Goals and promoting global biodiversity conservation and sustainability efforts.
+
+### - World Terrestrial Eco Regions Dataset - SDG 15 (Life on Land) and SDG 13 (Climate Actions)
+#### Dataset Attributes:
+The dataset used in this analysis has been obtained from the World Wide Fund (WWF) database, and it pertains to the mapping of Terrestrial Eco Regions worldwide.
+
+#### Mapping Explanation:
+Both the Neotropic and Nearctic regions are home to a wide range of terrestrial ecosystems and species. SDG 15 focuses on protecting, restoring, and promoting sustainable use of terrestrial ecosystems and biodiversity. The conservation efforts in these regions contribute significantly to this goal. Also, Climate action (SDG 13) is relevant as these regions play a role in climate change mitigation and adaptation. Preservation of forests and other ecosystems in these regions can help sequester carbon and contribute to climate resilience.
+
+### - Climate Dataset - SDG 13 (Climate Action) 
+#### Dataset Attributes:
+The values in this dataset attribute represent the different climate zones. They are defined by the Intergovernmental Panel on Climate Change (IPCC), the United Nations body for assessing the science related to climate change. The values to be considered include; 
+1. Warm Temperate Moist
+2. Warm Temperate Dry
+3. Cool Temperate Moist
+4. Cool Temperate Dry
+5. Polar Moist
+6. Polar Dry
+7. Boreal Moist
+8. Boreal Dry
+9. Tropical Montane
+    
+#### Mapping Explanation:
+The dataset has been correlated with the Sustainable Development Goal (SDG) focused on Climate Action (SDG 13). This particular SDG is dedicated to addressing and mitigating the impact of climate change on the planet and its ecosystems. It emphasizes the need for immediate and concerted efforts to combat climate change and its detrimental effects on life
\ No newline at end of file
diff --git a/Oureachy_Naz_Task2/.ipynb_checkpoints/Naz_SDG_Mapping_Task2-checkpoint.ipynb b/Oureachy_Naz_Task2/.ipynb_checkpoints/Naz_SDG_Mapping_Task2-checkpoint.ipynb
new file mode 100644
index 000000000..363fcab7e
--- /dev/null
+++ b/Oureachy_Naz_Task2/.ipynb_checkpoints/Naz_SDG_Mapping_Task2-checkpoint.ipynb
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Oureachy_Naz_Task2/Naz_SDG_Mapping_Prototype_Documentation_Task2.md b/Oureachy_Naz_Task2/Naz_SDG_Mapping_Prototype_Documentation_Task2.md
new file mode 100644
index 000000000..e4fab5f3e
--- /dev/null
+++ b/Oureachy_Naz_Task2/Naz_SDG_Mapping_Prototype_Documentation_Task2.md
@@ -0,0 +1,36 @@
+# Sustainable Development Goals (SDG) Mapping Prototype
+
+This prototype provides a comprehensive overview of the mapping process, encompassing the dataset specifics, attributes under scrutiny, the reasoning behind the mapping, and the resultant findings. Within this document, we will employ datasets from diverse land sectors to delineate prototype mappings for the SDGs.
+
+In this prototype, the focus will be on these three SDGs below in relation to the chosen Datasets (Global Biodiversity Hotspot dataset, World Protected Areas dataset, and Climate dataset);
+### - Global Biodiversity Hotspot Dataset - SDG 15 (Life on Land) and SDG 14 (Life Below Water)
+#### Dataset Attributes: 
+The dataset utilized in this analysis has been responsibly provided by Conservation International (CI), a globally recognized environmental organization committed to safeguarding and preserving natural habitats and biodiversity on a global scale.
+
+#### Mapping Explanation:
+The datasets included here hold particular relevance to two key Sustainable Development Goals (SDGs); the first is SDG 15 - Life on Land: This dataset contributes to SDG 15, which focuses on protecting and restoring life on land, including terrestrial ecosystems and biodiversity. The information contained within these datasets aids in the assessment and preservation of critical terrestrial habitats, which is essential for achieving SDG 15's objectives. The second is SDG 14 - Life Below Water: While the dataset primarily addresses terrestrial ecoregions, it indirectly impacts SDG 14 as well. The health of terrestrial ecosystems influences the quality and sustainability of adjacent marine environments, highlighting the interconnectedness of terrestrial and aquatic life. Protecting land-based habitats can have positive ripple effects on life below water, making it relevant to SDG 14.
+
+By mapping and analyzing the world's biodiversity hotspots and ecoregions, these datasets play a vital role in advancing these Sustainable Development Goals and promoting global biodiversity conservation and sustainability efforts.
+
+### - World Terrestrial Eco Regions Dataset - SDG 15 (Life on Land) and SDG 13 (Climate Actions)
+#### Dataset Attributes:
+The dataset used in this analysis has been obtained from the World Wide Fund (WWF) database, and it pertains to the mapping of Terrestrial Eco Regions worldwide.
+
+#### Mapping Explanation:
+Both the Neotropic and Nearctic regions are home to a wide range of terrestrial ecosystems and species. SDG 15 focuses on protecting, restoring, and promoting sustainable use of terrestrial ecosystems and biodiversity. The conservation efforts in these regions contribute significantly to this goal. Also, Climate action (SDG 13) is relevant as these regions play a role in climate change mitigation and adaptation. Preservation of forests and other ecosystems in these regions can help sequester carbon and contribute to climate resilience.
+
+### - Climate Dataset - SDG 13 (Climate Action) 
+#### Dataset Attributes:
+The values in this dataset attribute represent the different climate zones. They are defined by the Intergovernmental Panel on Climate Change (IPCC), the United Nations body for assessing the science related to climate change. The values to be considered include; 
+1. Warm Temperate Moist
+2. Warm Temperate Dry
+3. Cool Temperate Moist
+4. Cool Temperate Dry
+5. Polar Moist
+6. Polar Dry
+7. Boreal Moist
+8. Boreal Dry
+9. Tropical Montane
+    
+#### Mapping Explanation:
+The dataset has been correlated with the Sustainable Development Goal (SDG) focused on Climate Action (SDG 13). This particular SDG is dedicated to addressing and mitigating the impact of climate change on the planet and its ecosystems. It emphasizes the need for immediate and concerted efforts to combat climate change and its detrimental effects on life
\ No newline at end of file
diff --git a/Oureachy_Naz_Task2/Naz_SDG_Mapping_Task2.ipynb b/Oureachy_Naz_Task2/Naz_SDG_Mapping_Task2.ipynb
new file mode 100644
index 000000000..7048932f5
--- /dev/null
+++ b/Oureachy_Naz_Task2/Naz_SDG_Mapping_Task2.ipynb
@@ -0,0 +1,2285 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e37226e0-7a5b-4df6-98e9-811960ae352d",
+   "metadata": {},
+   "source": [
+    "# SDGs Prototype Mapping to bridge the Gap Between Land Sector Data and SDGs\n",
+    "\n",
+    "### Introduction\n",
+    "The 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, provides a comprehensive framework for global peace and prosperity. Central to this agenda are the 17 Sustainable Development Goals (SDGs), representing a call to action for all nations, developed and developing, to work together. These goals encompass poverty eradication, improved health and education, reduced inequality, economic growth, climate change mitigation, and environmental preservation.\n",
+    "\n",
+    "The SDGs, established by the United Nations in 2015, aim to address global needs and ensure a sustainable future for generations to come.\n",
+    "\n",
+    "### Goal of this Prototype Mapping\n",
+    "The SDG prototype mapping seeks to analyze provided datasets to determine their alignment with specific SDGs. This alignment is a critical step in enabling informed decision-making to tackle global challenges effectively. \n",
+    "##### Below are the lists of the 17 United Nations&apos; SDGs;\n",
+    "\n",
+    "GOAL 1: No Poverty\n",
+    "\n",
+    "GOAL 2: Zero Hunger\n",
+    "\n",
+    "GOAL 3: Good Health and Well-being\n",
+    "\n",
+    "GOAL 4: Quality Education\n",
+    "\n",
+    "GOAL 5: Gender Equality\n",
+    "\n",
+    "GOAL 6: Clean Water and Sanitation\n",
+    "\n",
+    "GOAL 7: Affordable and Clean Energy\n",
+    "\n",
+    "GOAL 8: Decent Work and Economic Growth\n",
+    "\n",
+    "GOAL 9: Industry, Innovation, and Infrastructure\n",
+    "\n",
+    "GOAL 10: Reduced Inequalities\n",
+    "\n",
+    "GOAL 11: Sustainable Cities and Communities\n",
+    "\n",
+    "GOAL 12: Responsible Consumption and Production\n",
+    "\n",
+    "GOAL 13: Climate Action\n",
+    "\n",
+    "GOAL 14: Life below Water\n",
+    "\n",
+    "GOAL 15: Life on Land\n",
+    "\n",
+    "GOAL 16: Peace, Justice, and Strong Institution\n",
+    "\n",
+    "GOAL 17: Partnerships for the Goals\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "535e2c4b-4d71-4dfc-91d6-0c1cdaa01a56",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initialising and importing libraries used\n",
+    "\n",
+    "import geopandas as gpd\n",
+    "import io, requests\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "98f1ab33-f75a-4f6a-8d35-c4898eb462bd",
+   "metadata": {},
+   "source": [
+    "### WORLD BIODIVERSITY HOTSPOT"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "6bd475c6-d81c-40de-8b21-5e6aa9014fea",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>OBJECTID</th>\n",
+       "      <th>NAME</th>\n",
+       "      <th>Type</th>\n",
+       "      <th>Shape_Length</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Chilean Winter Rainfall and Valdivian Forests</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>200.706891</td>\n",
+       "      <td>40.754665</td>\n",
+       "      <td>MULTIPOLYGON (((-74.59792 -46.92502, -74.61111...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Chilean Winter Rainfall and Valdivian Forests</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>191.174978</td>\n",
+       "      <td>186.085694</td>\n",
+       "      <td>POLYGON ((-70.30946 -22.96028, -70.48596 -22.7...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Cape Floristic Region</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>93.790123</td>\n",
+       "      <td>7.610383</td>\n",
+       "      <td>MULTIPOLYGON (((23.08672 -34.07310, 23.08538 -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Maputaland-Pondoland-Albany</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>49.631419</td>\n",
+       "      <td>25.366584</td>\n",
+       "      <td>MULTIPOLYGON (((24.48767 -34.10045, 24.48800 -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>New Caledonia</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>24.637100</td>\n",
+       "      <td>1.646954</td>\n",
+       "      <td>MULTIPOLYGON (((167.46053 -22.71228, 167.46161...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   OBJECTID                                           NAME          Type  \\\n",
+       "0         1  Chilean Winter Rainfall and Valdivian Forests  hotspot area   \n",
+       "1         2  Chilean Winter Rainfall and Valdivian Forests   outer limit   \n",
+       "2         3                          Cape Floristic Region  hotspot area   \n",
+       "3         4                    Maputaland-Pondoland-Albany  hotspot area   \n",
+       "4         5                                  New Caledonia  hotspot area   \n",
+       "\n",
+       "   Shape_Length  Shape_Area                                           geometry  \n",
+       "0    200.706891   40.754665  MULTIPOLYGON (((-74.59792 -46.92502, -74.61111...  \n",
+       "1    191.174978  186.085694  POLYGON ((-70.30946 -22.96028, -70.48596 -22.7...  \n",
+       "2     93.790123    7.610383  MULTIPOLYGON (((23.08672 -34.07310, 23.08538 -...  \n",
+       "3     49.631419   25.366584  MULTIPOLYGON (((24.48767 -34.10045, 24.48800 -...  \n",
+       "4     24.637100    1.646954  MULTIPOLYGON (((167.46053 -22.71228, 167.46161...  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "world_biodiversity = gpd.read_file(r'/home/naza/Downloads/CI_BiodiversityHotspots.geojson')\n",
+    "world_biodiversity.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "e27078b3-9685-486e-a1fa-75162ade7d04",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>OBJECTID</th>\n",
+       "      <th>NAME</th>\n",
+       "      <th>Type</th>\n",
+       "      <th>Shape_Length</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Chilean Winter Rainfall and Valdivian Forests</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>200.706891</td>\n",
+       "      <td>40.754665</td>\n",
+       "      <td>MULTIPOLYGON (((-74.59792 -46.92502, -74.61111...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Chilean Winter Rainfall and Valdivian Forests</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>191.174978</td>\n",
+       "      <td>186.085694</td>\n",
+       "      <td>POLYGON ((-70.30946 -22.96028, -70.48596 -22.7...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Cape Floristic Region</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>93.790123</td>\n",
+       "      <td>7.610383</td>\n",
+       "      <td>MULTIPOLYGON (((23.08672 -34.07310, 23.08538 -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Maputaland-Pondoland-Albany</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>49.631419</td>\n",
+       "      <td>25.366584</td>\n",
+       "      <td>MULTIPOLYGON (((24.48767 -34.10045, 24.48800 -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>New Caledonia</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>24.637100</td>\n",
+       "      <td>1.646954</td>\n",
+       "      <td>MULTIPOLYGON (((167.46053 -22.71228, 167.46161...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>New Caledonia</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>57.304717</td>\n",
+       "      <td>38.222164</td>\n",
+       "      <td>POLYGON ((164.35824 -19.10137, 164.32053 -19.0...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7</td>\n",
+       "      <td>Southwest Australia</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>60.859672</td>\n",
+       "      <td>33.934367</td>\n",
+       "      <td>MULTIPOLYGON (((117.88123 -35.17920, 117.87544...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>Succulent Karoo</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>79.117896</td>\n",
+       "      <td>9.648439</td>\n",
+       "      <td>MULTIPOLYGON (((19.94758 -33.85045, 19.94773 -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>Forests of East Australia</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>88.128992</td>\n",
+       "      <td>23.473995</td>\n",
+       "      <td>MULTIPOLYGON (((153.49344 -27.42185, 153.48857...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>Caucasus</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>90.689909</td>\n",
+       "      <td>58.514955</td>\n",
+       "      <td>MULTIPOLYGON (((53.64732 36.85539, 53.64686 36...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>Himalaya</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>146.420666</td>\n",
+       "      <td>69.043477</td>\n",
+       "      <td>MULTIPOLYGON (((83.63718 29.26756, 83.64967 29...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>Horn of Africa</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>120.274682</td>\n",
+       "      <td>73.220040</td>\n",
+       "      <td>MULTIPOLYGON (((39.89708 16.32164, 39.90083 16...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>13</td>\n",
+       "      <td>Indo-Burma</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>402.030896</td>\n",
+       "      <td>203.319990</td>\n",
+       "      <td>MULTIPOLYGON (((100.57087 4.86481, 100.55511 4...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>14</td>\n",
+       "      <td>Indo-Burma</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>379.920372</td>\n",
+       "      <td>173.578229</td>\n",
+       "      <td>MULTIPOLYGON (((94.68272 16.29783, 94.68811 16...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>15</td>\n",
+       "      <td>Irano-Anatolian</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>184.772290</td>\n",
+       "      <td>90.307526</td>\n",
+       "      <td>MULTIPOLYGON (((56.54563 27.72321, 56.51865 27...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>16</td>\n",
+       "      <td>Japan</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>219.242893</td>\n",
+       "      <td>38.182343</td>\n",
+       "      <td>MULTIPOLYGON (((123.79903 24.03953, 123.80211 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>17</td>\n",
+       "      <td>Japan</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>297.049059</td>\n",
+       "      <td>245.457896</td>\n",
+       "      <td>POLYGON ((143.38627 45.62484, 142.97525 45.662...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>18</td>\n",
+       "      <td>Mountains of Central Asia</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>107.065624</td>\n",
+       "      <td>93.244489</td>\n",
+       "      <td>MULTIPOLYGON (((75.66653 36.76604, 75.63583 36...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>19</td>\n",
+       "      <td>Mountains of Southwest China</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>116.786852</td>\n",
+       "      <td>24.424047</td>\n",
+       "      <td>MULTIPOLYGON (((94.36492 31.26755, 94.35851 31...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20</td>\n",
+       "      <td>Philippines</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>241.953165</td>\n",
+       "      <td>24.601083</td>\n",
+       "      <td>MULTIPOLYGON (((119.39130 4.61894, 119.39078 4...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>21</td>\n",
+       "      <td>Philippines</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>295.862968</td>\n",
+       "      <td>137.641924</td>\n",
+       "      <td>POLYGON ((127.01715 4.93909, 127.02402 4.94458...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>22</td>\n",
+       "      <td>Western Ghats and Sri Lanka</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>46.061444</td>\n",
+       "      <td>15.733402</td>\n",
+       "      <td>MULTIPOLYGON (((79.82289 7.94472, 79.82361 7.9...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>23</td>\n",
+       "      <td>California Floristic Province</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>55.599274</td>\n",
+       "      <td>30.098119</td>\n",
+       "      <td>MULTIPOLYGON (((-115.37624 28.10790, -115.3693...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>24</td>\n",
+       "      <td>California Floristic Province</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>53.234217</td>\n",
+       "      <td>35.372344</td>\n",
+       "      <td>POLYGON ((-116.73013 31.73940, -116.73152 31.7...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>25</td>\n",
+       "      <td>Caribbean Islands</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>230.585124</td>\n",
+       "      <td>19.818704</td>\n",
+       "      <td>MULTIPOLYGON (((-64.39832 11.72028, -64.39622 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>26</td>\n",
+       "      <td>Caribbean Islands</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>299.257659</td>\n",
+       "      <td>214.384415</td>\n",
+       "      <td>POLYGON ((-84.28348 17.55457, -84.19510 17.471...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>27</td>\n",
+       "      <td>Madrean Pine-Oak Woodlands</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>546.300729</td>\n",
+       "      <td>40.848314</td>\n",
+       "      <td>MULTIPOLYGON (((-96.61650 15.88247, -96.62143 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>28</td>\n",
+       "      <td>Mesoamerica</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>451.719152</td>\n",
+       "      <td>95.763513</td>\n",
+       "      <td>MULTIPOLYGON (((-87.04617 5.55242, -87.04675 5...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>29</td>\n",
+       "      <td>Mesoamerica</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>242.571690</td>\n",
+       "      <td>342.466874</td>\n",
+       "      <td>MULTIPOLYGON (((-106.80501 23.66897, -106.8008...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>30</td>\n",
+       "      <td>North American Coastal Plain</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>342.674109</td>\n",
+       "      <td>117.522193</td>\n",
+       "      <td>MULTIPOLYGON (((-97.73414 24.07666, -97.73487 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>31</td>\n",
+       "      <td>New Zealand</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>278.308656</td>\n",
+       "      <td>557.797119</td>\n",
+       "      <td>MULTIPOLYGON (((180.00000 -28.51559, 180.00000...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>32</td>\n",
+       "      <td>Tumbes-Choco-Magdalena</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>187.609693</td>\n",
+       "      <td>22.329914</td>\n",
+       "      <td>MULTIPOLYGON (((-80.20981 -3.43196, -80.20917 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>33</td>\n",
+       "      <td>East Melanesian Islands</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>225.092613</td>\n",
+       "      <td>186.226067</td>\n",
+       "      <td>POLYGON ((150.43369 -0.87323, 150.38155 -0.860...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>34</td>\n",
+       "      <td>Sundaland</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>339.989621</td>\n",
+       "      <td>121.642368</td>\n",
+       "      <td>MULTIPOLYGON (((96.93003 -12.16986, 96.93164 -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>35</td>\n",
+       "      <td>Eastern Afromontane</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>274.766663</td>\n",
+       "      <td>82.812834</td>\n",
+       "      <td>MULTIPOLYGON (((32.87497 -20.07615, 32.88673 -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>36</td>\n",
+       "      <td>Atlantic Forest</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>300.835113</td>\n",
+       "      <td>107.978149</td>\n",
+       "      <td>MULTIPOLYGON (((-52.09801 -32.09873, -52.09585...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>37</td>\n",
+       "      <td>Polynesia-Micronesia</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>147.018923</td>\n",
+       "      <td>4.015096</td>\n",
+       "      <td>MULTIPOLYGON (((-144.32992 -27.57666, -144.331...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>38</td>\n",
+       "      <td>Tumbes-Choco-Magdalena</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>85.277625</td>\n",
+       "      <td>104.249366</td>\n",
+       "      <td>POLYGON ((-78.29707 7.68989, -78.29916 7.69846...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>39</td>\n",
+       "      <td>Horn of Africa</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>248.899010</td>\n",
+       "      <td>137.275957</td>\n",
+       "      <td>MULTIPOLYGON (((39.93373 -6.90581, 39.93459 -6...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>40</td>\n",
+       "      <td>Sundaland</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>427.143229</td>\n",
+       "      <td>328.745439</td>\n",
+       "      <td>MULTIPOLYGON (((118.53144 2.15269, 118.53130 2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>41</td>\n",
+       "      <td>Guinean Forests of West Africa</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>133.081950</td>\n",
+       "      <td>50.525510</td>\n",
+       "      <td>MULTIPOLYGON (((5.62957 -1.45728, 5.63351 -1.4...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>42</td>\n",
+       "      <td>Cerrado</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>340.748166</td>\n",
+       "      <td>170.556404</td>\n",
+       "      <td>MULTIPOLYGON (((-55.29527 -22.90017, -55.31034...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>43</td>\n",
+       "      <td>Polynesia-Micronesia</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>413.933470</td>\n",
+       "      <td>1909.519333</td>\n",
+       "      <td>MULTIPOLYGON (((-140.60948 -21.71556, -140.606...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>44</td>\n",
+       "      <td>Coastal Forests of Eastern Africa</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>140.781682</td>\n",
+       "      <td>24.271498</td>\n",
+       "      <td>MULTIPOLYGON (((35.44340 -23.86182, 35.44595 -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>45</td>\n",
+       "      <td>Madagascar and the Indian Ocean Islands</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>85.871499</td>\n",
+       "      <td>51.558044</td>\n",
+       "      <td>MULTIPOLYGON (((44.22776 -25.22229, 44.23248 -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>46</td>\n",
+       "      <td>Wallacea</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>277.279718</td>\n",
+       "      <td>27.491158</td>\n",
+       "      <td>MULTIPOLYGON (((122.85761 -10.96322, 122.85345...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>47</td>\n",
+       "      <td>Mediterranean Basin</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>681.817768</td>\n",
+       "      <td>212.727774</td>\n",
+       "      <td>MULTIPOLYGON (((-24.69949 14.89513, -24.70035 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>48</td>\n",
+       "      <td>New Zealand</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>129.428005</td>\n",
+       "      <td>29.364356</td>\n",
+       "      <td>MULTIPOLYGON (((158.96280 -54.49958, 158.96266...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>49</td>\n",
+       "      <td>Tropical Andes</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>411.682107</td>\n",
+       "      <td>129.491625</td>\n",
+       "      <td>MULTIPOLYGON (((-65.01836 -25.67424, -64.93745...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>50</td>\n",
+       "      <td>East Melanesian Islands</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>150.567789</td>\n",
+       "      <td>8.130046</td>\n",
+       "      <td>MULTIPOLYGON (((169.85451 -20.14125, 169.84250...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>51</td>\n",
+       "      <td>Madagascar and the Indian Ocean Islands</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>164.210642</td>\n",
+       "      <td>350.358797</td>\n",
+       "      <td>POLYGON ((58.15548 -3.70879, 58.13793 -3.66995...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>52</td>\n",
+       "      <td>Wallacea</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>334.190436</td>\n",
+       "      <td>170.498109</td>\n",
+       "      <td>POLYGON ((127.47139 4.80923, 127.44697 4.81936...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>53</td>\n",
+       "      <td>Mediterranean Basin</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>564.971151</td>\n",
+       "      <td>676.679648</td>\n",
+       "      <td>POLYGON ((13.54803 45.79731, 13.54669 45.79722...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    OBJECTID                                           NAME          Type  \\\n",
+       "0          1  Chilean Winter Rainfall and Valdivian Forests  hotspot area   \n",
+       "1          2  Chilean Winter Rainfall and Valdivian Forests   outer limit   \n",
+       "2          3                          Cape Floristic Region  hotspot area   \n",
+       "3          4                    Maputaland-Pondoland-Albany  hotspot area   \n",
+       "4          5                                  New Caledonia  hotspot area   \n",
+       "5          6                                  New Caledonia   outer limit   \n",
+       "6          7                            Southwest Australia  hotspot area   \n",
+       "7          8                                Succulent Karoo  hotspot area   \n",
+       "8          9                      Forests of East Australia  hotspot area   \n",
+       "9         10                                       Caucasus  hotspot area   \n",
+       "10        11                                       Himalaya  hotspot area   \n",
+       "11        12                                 Horn of Africa   outer limit   \n",
+       "12        13                                     Indo-Burma  hotspot area   \n",
+       "13        14                                     Indo-Burma   outer limit   \n",
+       "14        15                                Irano-Anatolian  hotspot area   \n",
+       "15        16                                          Japan  hotspot area   \n",
+       "16        17                                          Japan   outer limit   \n",
+       "17        18                      Mountains of Central Asia  hotspot area   \n",
+       "18        19                   Mountains of Southwest China  hotspot area   \n",
+       "19        20                                    Philippines  hotspot area   \n",
+       "20        21                                    Philippines   outer limit   \n",
+       "21        22                    Western Ghats and Sri Lanka  hotspot area   \n",
+       "22        23                  California Floristic Province  hotspot area   \n",
+       "23        24                  California Floristic Province   outer limit   \n",
+       "24        25                              Caribbean Islands  hotspot area   \n",
+       "25        26                              Caribbean Islands   outer limit   \n",
+       "26        27                     Madrean Pine-Oak Woodlands  hotspot area   \n",
+       "27        28                                    Mesoamerica  hotspot area   \n",
+       "28        29                                    Mesoamerica   outer limit   \n",
+       "29        30                   North American Coastal Plain  hotspot area   \n",
+       "30        31                                    New Zealand   outer limit   \n",
+       "31        32                         Tumbes-Choco-Magdalena  hotspot area   \n",
+       "32        33                        East Melanesian Islands   outer limit   \n",
+       "33        34                                      Sundaland  hotspot area   \n",
+       "34        35                            Eastern Afromontane  hotspot area   \n",
+       "35        36                                Atlantic Forest  hotspot area   \n",
+       "36        37                           Polynesia-Micronesia  hotspot area   \n",
+       "37        38                         Tumbes-Choco-Magdalena   outer limit   \n",
+       "38        39                                 Horn of Africa  hotspot area   \n",
+       "39        40                                      Sundaland   outer limit   \n",
+       "40        41                 Guinean Forests of West Africa  hotspot area   \n",
+       "41        42                                        Cerrado  hotspot area   \n",
+       "42        43                           Polynesia-Micronesia   outer limit   \n",
+       "43        44              Coastal Forests of Eastern Africa  hotspot area   \n",
+       "44        45        Madagascar and the Indian Ocean Islands  hotspot area   \n",
+       "45        46                                       Wallacea  hotspot area   \n",
+       "46        47                            Mediterranean Basin  hotspot area   \n",
+       "47        48                                    New Zealand  hotspot area   \n",
+       "48        49                                 Tropical Andes  hotspot area   \n",
+       "49        50                        East Melanesian Islands  hotspot area   \n",
+       "50        51        Madagascar and the Indian Ocean Islands   outer limit   \n",
+       "51        52                                       Wallacea   outer limit   \n",
+       "52        53                            Mediterranean Basin   outer limit   \n",
+       "\n",
+       "    Shape_Length   Shape_Area  \\\n",
+       "0     200.706891    40.754665   \n",
+       "1     191.174978   186.085694   \n",
+       "2      93.790123     7.610383   \n",
+       "3      49.631419    25.366584   \n",
+       "4      24.637100     1.646954   \n",
+       "5      57.304717    38.222164   \n",
+       "6      60.859672    33.934367   \n",
+       "7      79.117896     9.648439   \n",
+       "8      88.128992    23.473995   \n",
+       "9      90.689909    58.514955   \n",
+       "10    146.420666    69.043477   \n",
+       "11    120.274682    73.220040   \n",
+       "12    402.030896   203.319990   \n",
+       "13    379.920372   173.578229   \n",
+       "14    184.772290    90.307526   \n",
+       "15    219.242893    38.182343   \n",
+       "16    297.049059   245.457896   \n",
+       "17    107.065624    93.244489   \n",
+       "18    116.786852    24.424047   \n",
+       "19    241.953165    24.601083   \n",
+       "20    295.862968   137.641924   \n",
+       "21     46.061444    15.733402   \n",
+       "22     55.599274    30.098119   \n",
+       "23     53.234217    35.372344   \n",
+       "24    230.585124    19.818704   \n",
+       "25    299.257659   214.384415   \n",
+       "26    546.300729    40.848314   \n",
+       "27    451.719152    95.763513   \n",
+       "28    242.571690   342.466874   \n",
+       "29    342.674109   117.522193   \n",
+       "30    278.308656   557.797119   \n",
+       "31    187.609693    22.329914   \n",
+       "32    225.092613   186.226067   \n",
+       "33    339.989621   121.642368   \n",
+       "34    274.766663    82.812834   \n",
+       "35    300.835113   107.978149   \n",
+       "36    147.018923     4.015096   \n",
+       "37     85.277625   104.249366   \n",
+       "38    248.899010   137.275957   \n",
+       "39    427.143229   328.745439   \n",
+       "40    133.081950    50.525510   \n",
+       "41    340.748166   170.556404   \n",
+       "42    413.933470  1909.519333   \n",
+       "43    140.781682    24.271498   \n",
+       "44     85.871499    51.558044   \n",
+       "45    277.279718    27.491158   \n",
+       "46    681.817768   212.727774   \n",
+       "47    129.428005    29.364356   \n",
+       "48    411.682107   129.491625   \n",
+       "49    150.567789     8.130046   \n",
+       "50    164.210642   350.358797   \n",
+       "51    334.190436   170.498109   \n",
+       "52    564.971151   676.679648   \n",
+       "\n",
+       "                                             geometry  \n",
+       "0   MULTIPOLYGON (((-74.59792 -46.92502, -74.61111...  \n",
+       "1   POLYGON ((-70.30946 -22.96028, -70.48596 -22.7...  \n",
+       "2   MULTIPOLYGON (((23.08672 -34.07310, 23.08538 -...  \n",
+       "3   MULTIPOLYGON (((24.48767 -34.10045, 24.48800 -...  \n",
+       "4   MULTIPOLYGON (((167.46053 -22.71228, 167.46161...  \n",
+       "5   POLYGON ((164.35824 -19.10137, 164.32053 -19.0...  \n",
+       "6   MULTIPOLYGON (((117.88123 -35.17920, 117.87544...  \n",
+       "7   MULTIPOLYGON (((19.94758 -33.85045, 19.94773 -...  \n",
+       "8   MULTIPOLYGON (((153.49344 -27.42185, 153.48857...  \n",
+       "9   MULTIPOLYGON (((53.64732 36.85539, 53.64686 36...  \n",
+       "10  MULTIPOLYGON (((83.63718 29.26756, 83.64967 29...  \n",
+       "11  MULTIPOLYGON (((39.89708 16.32164, 39.90083 16...  \n",
+       "12  MULTIPOLYGON (((100.57087 4.86481, 100.55511 4...  \n",
+       "13  MULTIPOLYGON (((94.68272 16.29783, 94.68811 16...  \n",
+       "14  MULTIPOLYGON (((56.54563 27.72321, 56.51865 27...  \n",
+       "15  MULTIPOLYGON (((123.79903 24.03953, 123.80211 ...  \n",
+       "16  POLYGON ((143.38627 45.62484, 142.97525 45.662...  \n",
+       "17  MULTIPOLYGON (((75.66653 36.76604, 75.63583 36...  \n",
+       "18  MULTIPOLYGON (((94.36492 31.26755, 94.35851 31...  \n",
+       "19  MULTIPOLYGON (((119.39130 4.61894, 119.39078 4...  \n",
+       "20  POLYGON ((127.01715 4.93909, 127.02402 4.94458...  \n",
+       "21  MULTIPOLYGON (((79.82289 7.94472, 79.82361 7.9...  \n",
+       "22  MULTIPOLYGON (((-115.37624 28.10790, -115.3693...  \n",
+       "23  POLYGON ((-116.73013 31.73940, -116.73152 31.7...  \n",
+       "24  MULTIPOLYGON (((-64.39832 11.72028, -64.39622 ...  \n",
+       "25  POLYGON ((-84.28348 17.55457, -84.19510 17.471...  \n",
+       "26  MULTIPOLYGON (((-96.61650 15.88247, -96.62143 ...  \n",
+       "27  MULTIPOLYGON (((-87.04617 5.55242, -87.04675 5...  \n",
+       "28  MULTIPOLYGON (((-106.80501 23.66897, -106.8008...  \n",
+       "29  MULTIPOLYGON (((-97.73414 24.07666, -97.73487 ...  \n",
+       "30  MULTIPOLYGON (((180.00000 -28.51559, 180.00000...  \n",
+       "31  MULTIPOLYGON (((-80.20981 -3.43196, -80.20917 ...  \n",
+       "32  POLYGON ((150.43369 -0.87323, 150.38155 -0.860...  \n",
+       "33  MULTIPOLYGON (((96.93003 -12.16986, 96.93164 -...  \n",
+       "34  MULTIPOLYGON (((32.87497 -20.07615, 32.88673 -...  \n",
+       "35  MULTIPOLYGON (((-52.09801 -32.09873, -52.09585...  \n",
+       "36  MULTIPOLYGON (((-144.32992 -27.57666, -144.331...  \n",
+       "37  POLYGON ((-78.29707 7.68989, -78.29916 7.69846...  \n",
+       "38  MULTIPOLYGON (((39.93373 -6.90581, 39.93459 -6...  \n",
+       "39  MULTIPOLYGON (((118.53144 2.15269, 118.53130 2...  \n",
+       "40  MULTIPOLYGON (((5.62957 -1.45728, 5.63351 -1.4...  \n",
+       "41  MULTIPOLYGON (((-55.29527 -22.90017, -55.31034...  \n",
+       "42  MULTIPOLYGON (((-140.60948 -21.71556, -140.606...  \n",
+       "43  MULTIPOLYGON (((35.44340 -23.86182, 35.44595 -...  \n",
+       "44  MULTIPOLYGON (((44.22776 -25.22229, 44.23248 -...  \n",
+       "45  MULTIPOLYGON (((122.85761 -10.96322, 122.85345...  \n",
+       "46  MULTIPOLYGON (((-24.69949 14.89513, -24.70035 ...  \n",
+       "47  MULTIPOLYGON (((158.96280 -54.49958, 158.96266...  \n",
+       "48  MULTIPOLYGON (((-65.01836 -25.67424, -64.93745...  \n",
+       "49  MULTIPOLYGON (((169.85451 -20.14125, 169.84250...  \n",
+       "50  POLYGON ((58.15548 -3.70879, 58.13793 -3.66995...  \n",
+       "51  POLYGON ((127.47139 4.80923, 127.44697 4.81936...  \n",
+       "52  POLYGON ((13.54803 45.79731, 13.54669 45.79722...  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "world_biodiversity = gpd.read_file(r'/home/naza/Downloads/CI_BiodiversityHotspots.geojson')\n",
+    "world_biodiversity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "8076eb2c-0f04-4a4a-a9f5-50773c94e296",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Functions defined for mapping each datasets\n",
+    "# For Biodiversity Hotspot\n",
+    "def map_biodiversity_hotspot_to_sdg(row):\n",
+    "    # Some biodiversity hotspots using the \"NAME\" row from the list above\n",
+    "    marine_biodiversity_hotspots = [\n",
+    "        'Chilean Winter Rainfall and Valdivian Forests', \n",
+    "        'Indo-Burma', \n",
+    "        'Japan', \n",
+    "        'Mesoamerica', \n",
+    "        'Horn of Africa',\n",
+    "        'Sundaland',\n",
+    "        'Mediterranean Basin',\n",
+    "        'Coastal Forests of Eastern Africa'\n",
+    "    ]\n",
+    "    \n",
+    "    # verify whether this hotspot is known for marine or land biodiversity\n",
+    "    if row['NAME'] in marine_biodiversity_hotspots:\n",
+    "        return \"SDG #14: Life below Water\"\n",
+    "    else:\n",
+    "        return \"SDG #15: Life on Land\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "fddd9c80-96be-44d8-b9d8-030003f0e7c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>OBJECTID</th>\n",
+       "      <th>NAME</th>\n",
+       "      <th>Type</th>\n",
+       "      <th>Shape_Length</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>SDG_MAPPING</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Chilean Winter Rainfall and Valdivian Forests</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>200.706891</td>\n",
+       "      <td>40.754665</td>\n",
+       "      <td>MULTIPOLYGON (((-74.59792 -46.92502, -74.61111...</td>\n",
+       "      <td>SDG #14: Life below Water</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Chilean Winter Rainfall and Valdivian Forests</td>\n",
+       "      <td>outer limit</td>\n",
+       "      <td>191.174978</td>\n",
+       "      <td>186.085694</td>\n",
+       "      <td>POLYGON ((-70.30946 -22.96028, -70.48596 -22.7...</td>\n",
+       "      <td>SDG #14: Life below Water</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Cape Floristic Region</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>93.790123</td>\n",
+       "      <td>7.610383</td>\n",
+       "      <td>MULTIPOLYGON (((23.08672 -34.07310, 23.08538 -...</td>\n",
+       "      <td>SDG #15: Life on Land</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Maputaland-Pondoland-Albany</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>49.631419</td>\n",
+       "      <td>25.366584</td>\n",
+       "      <td>MULTIPOLYGON (((24.48767 -34.10045, 24.48800 -...</td>\n",
+       "      <td>SDG #15: Life on Land</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>New Caledonia</td>\n",
+       "      <td>hotspot area</td>\n",
+       "      <td>24.637100</td>\n",
+       "      <td>1.646954</td>\n",
+       "      <td>MULTIPOLYGON (((167.46053 -22.71228, 167.46161...</td>\n",
+       "      <td>SDG #15: Life on Land</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   OBJECTID                                           NAME          Type  \\\n",
+       "0         1  Chilean Winter Rainfall and Valdivian Forests  hotspot area   \n",
+       "1         2  Chilean Winter Rainfall and Valdivian Forests   outer limit   \n",
+       "2         3                          Cape Floristic Region  hotspot area   \n",
+       "3         4                    Maputaland-Pondoland-Albany  hotspot area   \n",
+       "4         5                                  New Caledonia  hotspot area   \n",
+       "\n",
+       "   Shape_Length  Shape_Area  \\\n",
+       "0    200.706891   40.754665   \n",
+       "1    191.174978  186.085694   \n",
+       "2     93.790123    7.610383   \n",
+       "3     49.631419   25.366584   \n",
+       "4     24.637100    1.646954   \n",
+       "\n",
+       "                                            geometry  \\\n",
+       "0  MULTIPOLYGON (((-74.59792 -46.92502, -74.61111...   \n",
+       "1  POLYGON ((-70.30946 -22.96028, -70.48596 -22.7...   \n",
+       "2  MULTIPOLYGON (((23.08672 -34.07310, 23.08538 -...   \n",
+       "3  MULTIPOLYGON (((24.48767 -34.10045, 24.48800 -...   \n",
+       "4  MULTIPOLYGON (((167.46053 -22.71228, 167.46161...   \n",
+       "\n",
+       "                 SDG_MAPPING  \n",
+       "0  SDG #14: Life below Water  \n",
+       "1  SDG #14: Life below Water  \n",
+       "2      SDG #15: Life on Land  \n",
+       "3      SDG #15: Life on Land  \n",
+       "4      SDG #15: Life on Land  "
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Implement the mapping function defined and save the datasets \n",
+    "world_biodiversity['SDG_MAPPING'] = world_biodiversity.apply(map_biodiversity_hotspot_to_sdg, axis=1)\n",
+    "world_biodiversity.to_file('CI_BiodiversityHotspots_Mapped.geojson', driver='GeoJSON')\n",
+    "#world_biodiversity\n",
+    "world_biodiversity.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "afbee9dc-d3a2-4a4c-aa1d-1520cb4a0b37",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Data visualisation using Bar Chart\n",
+    "sdg_biodiversity_count = world_biodiversity['SDG_MAPPING'].value_counts()\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sdg_biodiversity_count.plot(kind='bar', color=['brown', 'peru'])\n",
+    "plt.title('Distribution of SDGs in Biodiversity Hotspots')\n",
+    "plt.xlabel('Sustainable Development Goals')\n",
+    "plt.ylabel('Number of Biodiversity Hotspots')\n",
+    "plt.xticks(rotation=0)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "691e81ea-aa33-4aab-a7c2-877b93557ec6",
+   "metadata": {},
+   "source": [
+    "### TERRESTRIAL ECOLOGICAL REGIONS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "9a67d32c-8d35-48ee-a347-ecd2eacffd59",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>OBJECTID_1</th>\n",
+       "      <th>OBJECTID</th>\n",
+       "      <th>AREA</th>\n",
+       "      <th>ECO_NAME</th>\n",
+       "      <th>REALM</th>\n",
+       "      <th>BIOME</th>\n",
+       "      <th>ECO_NUM</th>\n",
+       "      <th>ECO_ID</th>\n",
+       "      <th>ECO_SYM</th>\n",
+       "      <th>GBL_STAT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>G200_BIOME</th>\n",
+       "      <th>G200_STAT</th>\n",
+       "      <th>area_km2</th>\n",
+       "      <th>eco_code</th>\n",
+       "      <th>BIOME_1</th>\n",
+       "      <th>GBL_STAT_1</th>\n",
+       "      <th>REALM_1</th>\n",
+       "      <th>Shape_Length</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>29.802942</td>\n",
+       "      <td>Northern Mesoamerican Pacific mangroves</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>61404</td>\n",
+       "      <td>119</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8174</td>\n",
+       "      <td>NT1404</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>0.219475</td>\n",
+       "      <td>0.002769</td>\n",
+       "      <td>POLYGON ((-112.30433 29.33480, -112.29035 29.3...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>11.977824</td>\n",
+       "      <td>Northern Mesoamerican Pacific mangroves</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>61404</td>\n",
+       "      <td>119</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8174</td>\n",
+       "      <td>NT1404</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>0.193289</td>\n",
+       "      <td>0.001111</td>\n",
+       "      <td>POLYGON ((-112.19639 29.20719, -112.19669 29.2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>77301.372760</td>\n",
+       "      <td>Sinaloan dry forests</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>2</td>\n",
+       "      <td>28</td>\n",
+       "      <td>60228</td>\n",
+       "      <td>98</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>77362</td>\n",
+       "      <td>NT0228</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>111.951414</td>\n",
+       "      <td>6.879188</td>\n",
+       "      <td>POLYGON ((-108.40314 28.29783, -108.41069 28.3...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>215.489182</td>\n",
+       "      <td>Northern Mesoamerican Pacific mangroves</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>61404</td>\n",
+       "      <td>119</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8174</td>\n",
+       "      <td>NT1404</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>1.273654</td>\n",
+       "      <td>0.019701</td>\n",
+       "      <td>POLYGON ((-110.58808 27.85878, -110.59068 27.8...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>19.639089</td>\n",
+       "      <td>Northern Mesoamerican Pacific mangroves</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>61404</td>\n",
+       "      <td>119</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8174</td>\n",
+       "      <td>NT1404</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>0.363068</td>\n",
+       "      <td>0.001791</td>\n",
+       "      <td>POLYGON ((-110.53048 27.31542, -110.55385 27.3...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14346</th>\n",
+       "      <td>14347</td>\n",
+       "      <td>14919</td>\n",
+       "      <td>1.688307</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>0.061822</td>\n",
+       "      <td>0.000221</td>\n",
+       "      <td>POLYGON ((178.30938 51.98459, 178.30050 51.992...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14347</th>\n",
+       "      <td>14348</td>\n",
+       "      <td>14920</td>\n",
+       "      <td>10.182745</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>0.195331</td>\n",
+       "      <td>0.001331</td>\n",
+       "      <td>POLYGON ((177.71160 51.95987, 177.71102 51.964...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14348</th>\n",
+       "      <td>14349</td>\n",
+       "      <td>14921</td>\n",
+       "      <td>4.357807</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>0.120040</td>\n",
+       "      <td>0.000570</td>\n",
+       "      <td>POLYGON ((178.36743 51.96625, 178.37353 51.969...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14349</th>\n",
+       "      <td>14350</td>\n",
+       "      <td>14922</td>\n",
+       "      <td>30.425075</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>0.395223</td>\n",
+       "      <td>0.003964</td>\n",
+       "      <td>POLYGON ((178.33270 51.82403, 178.32769 51.827...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14350</th>\n",
+       "      <td>14351</td>\n",
+       "      <td>14923</td>\n",
+       "      <td>307.562192</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>2.051191</td>\n",
+       "      <td>0.039813</td>\n",
+       "      <td>POLYGON ((178.72436 51.64820, 178.71963 51.652...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>14351 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       OBJECTID_1  OBJECTID          AREA  \\\n",
+       "0               1         1     29.802942   \n",
+       "1               2         2     11.977824   \n",
+       "2               3         3  77301.372760   \n",
+       "3               4         4    215.489182   \n",
+       "4               5         5     19.639089   \n",
+       "...           ...       ...           ...   \n",
+       "14346       14347     14919      1.688307   \n",
+       "14347       14348     14920     10.182745   \n",
+       "14348       14349     14921      4.357807   \n",
+       "14349       14350     14922     30.425075   \n",
+       "14350       14351     14923    307.562192   \n",
+       "\n",
+       "                                      ECO_NAME REALM  BIOME  ECO_NUM  ECO_ID  \\\n",
+       "0      Northern Mesoamerican Pacific mangroves    NT     14        4   61404   \n",
+       "1      Northern Mesoamerican Pacific mangroves    NT     14        4   61404   \n",
+       "2                         Sinaloan dry forests    NT      2       28   60228   \n",
+       "3      Northern Mesoamerican Pacific mangroves    NT     14        4   61404   \n",
+       "4      Northern Mesoamerican Pacific mangroves    NT     14        4   61404   \n",
+       "...                                        ...   ...    ...      ...     ...   \n",
+       "14346                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "14347                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "14348                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "14349                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "14350                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "\n",
+       "       ECO_SYM  GBL_STAT  ... G200_BIOME  G200_STAT  area_km2  eco_code  \\\n",
+       "0          119         1  ...          0          0      8174    NT1404   \n",
+       "1          119         1  ...          0          0      8174    NT1404   \n",
+       "2           98         1  ...          2          1     77362    NT0228   \n",
+       "3          119         1  ...          0          0      8174    NT1404   \n",
+       "4          119         1  ...          0          0      8174    NT1404   \n",
+       "...        ...       ...  ...        ...        ...       ...       ...   \n",
+       "14346       53         3  ...          0          0     12141    NA1102   \n",
+       "14347       53         3  ...          0          0     12141    NA1102   \n",
+       "14348       53         3  ...          0          0     12141    NA1102   \n",
+       "14349       53         3  ...          0          0     12141    NA1102   \n",
+       "14350       53         3  ...          0          0     12141    NA1102   \n",
+       "\n",
+       "       BIOME_1 GBL_STAT_1     REALM_1 Shape_Length Shape_Area  \\\n",
+       "0                          Neotropics     0.219475   0.002769   \n",
+       "1                          Neotropics     0.193289   0.001111   \n",
+       "2                          Neotropics   111.951414   6.879188   \n",
+       "3                          Neotropics     1.273654   0.019701   \n",
+       "4                          Neotropics     0.363068   0.001791   \n",
+       "...        ...        ...         ...          ...        ...   \n",
+       "14346                        Nearctic     0.061822   0.000221   \n",
+       "14347                        Nearctic     0.195331   0.001331   \n",
+       "14348                        Nearctic     0.120040   0.000570   \n",
+       "14349                        Nearctic     0.395223   0.003964   \n",
+       "14350                        Nearctic     2.051191   0.039813   \n",
+       "\n",
+       "                                                geometry  \n",
+       "0      POLYGON ((-112.30433 29.33480, -112.29035 29.3...  \n",
+       "1      POLYGON ((-112.19639 29.20719, -112.19669 29.2...  \n",
+       "2      POLYGON ((-108.40314 28.29783, -108.41069 28.3...  \n",
+       "3      POLYGON ((-110.58808 27.85878, -110.59068 27.8...  \n",
+       "4      POLYGON ((-110.53048 27.31542, -110.55385 27.3...  \n",
+       "...                                                  ...  \n",
+       "14346  POLYGON ((178.30938 51.98459, 178.30050 51.992...  \n",
+       "14347  POLYGON ((177.71160 51.95987, 177.71102 51.964...  \n",
+       "14348  POLYGON ((178.36743 51.96625, 178.37353 51.969...  \n",
+       "14349  POLYGON ((178.33270 51.82403, 178.32769 51.827...  \n",
+       "14350  POLYGON ((178.72436 51.64820, 178.71963 51.652...  \n",
+       "\n",
+       "[14351 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "terrestrial_eco_regions = gpd.read_file(r'/home/naza/Downloads/TerrestrialEcoregionsoftheWorld_WWF.geojson')\n",
+    "terrestrial_eco_regions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "18b67a42-f8a3-43ac-8f6b-2699ebfc737e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Functions defined for mapping each datasets (terrestrial ecological regions)\n",
+    "def map_terrestrial_regions_to_sdg(row):\n",
+    "    return \"SDG #15: Life on Land & SDG #13: Climate Actions\"\n",
+    "# This is because all the zones mapped are most relevant to the SDG; Life on Land"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "6ab3a05d-4cc5-457e-884c-cb8b947f5ab3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>OBJECTID_1</th>\n",
+       "      <th>OBJECTID</th>\n",
+       "      <th>AREA</th>\n",
+       "      <th>ECO_NAME</th>\n",
+       "      <th>REALM</th>\n",
+       "      <th>BIOME</th>\n",
+       "      <th>ECO_NUM</th>\n",
+       "      <th>ECO_ID</th>\n",
+       "      <th>ECO_SYM</th>\n",
+       "      <th>GBL_STAT</th>\n",
+       "      <th>...</th>\n",
+       "      <th>G200_STAT</th>\n",
+       "      <th>area_km2</th>\n",
+       "      <th>eco_code</th>\n",
+       "      <th>BIOME_1</th>\n",
+       "      <th>GBL_STAT_1</th>\n",
+       "      <th>REALM_1</th>\n",
+       "      <th>Shape_Length</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>SDG_MAPPING</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>29.802942</td>\n",
+       "      <td>Northern Mesoamerican Pacific mangroves</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>61404</td>\n",
+       "      <td>119</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8174</td>\n",
+       "      <td>NT1404</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>0.219475</td>\n",
+       "      <td>0.002769</td>\n",
+       "      <td>POLYGON ((-112.30433 29.33480, -112.29035 29.3...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>11.977824</td>\n",
+       "      <td>Northern Mesoamerican Pacific mangroves</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>61404</td>\n",
+       "      <td>119</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8174</td>\n",
+       "      <td>NT1404</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>0.193289</td>\n",
+       "      <td>0.001111</td>\n",
+       "      <td>POLYGON ((-112.19639 29.20719, -112.19669 29.2...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>77301.372760</td>\n",
+       "      <td>Sinaloan dry forests</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>2</td>\n",
+       "      <td>28</td>\n",
+       "      <td>60228</td>\n",
+       "      <td>98</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>77362</td>\n",
+       "      <td>NT0228</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>111.951414</td>\n",
+       "      <td>6.879188</td>\n",
+       "      <td>POLYGON ((-108.40314 28.29783, -108.41069 28.3...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>215.489182</td>\n",
+       "      <td>Northern Mesoamerican Pacific mangroves</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>61404</td>\n",
+       "      <td>119</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8174</td>\n",
+       "      <td>NT1404</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>1.273654</td>\n",
+       "      <td>0.019701</td>\n",
+       "      <td>POLYGON ((-110.58808 27.85878, -110.59068 27.8...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>19.639089</td>\n",
+       "      <td>Northern Mesoamerican Pacific mangroves</td>\n",
+       "      <td>NT</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>61404</td>\n",
+       "      <td>119</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8174</td>\n",
+       "      <td>NT1404</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Neotropics</td>\n",
+       "      <td>0.363068</td>\n",
+       "      <td>0.001791</td>\n",
+       "      <td>POLYGON ((-110.53048 27.31542, -110.55385 27.3...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14346</th>\n",
+       "      <td>14347</td>\n",
+       "      <td>14919</td>\n",
+       "      <td>1.688307</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>0.061822</td>\n",
+       "      <td>0.000221</td>\n",
+       "      <td>POLYGON ((178.30938 51.98459, 178.30050 51.992...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14347</th>\n",
+       "      <td>14348</td>\n",
+       "      <td>14920</td>\n",
+       "      <td>10.182745</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>0.195331</td>\n",
+       "      <td>0.001331</td>\n",
+       "      <td>POLYGON ((177.71160 51.95987, 177.71102 51.964...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14348</th>\n",
+       "      <td>14349</td>\n",
+       "      <td>14921</td>\n",
+       "      <td>4.357807</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>0.120040</td>\n",
+       "      <td>0.000570</td>\n",
+       "      <td>POLYGON ((178.36743 51.96625, 178.37353 51.969...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14349</th>\n",
+       "      <td>14350</td>\n",
+       "      <td>14922</td>\n",
+       "      <td>30.425075</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>0.395223</td>\n",
+       "      <td>0.003964</td>\n",
+       "      <td>POLYGON ((178.33270 51.82403, 178.32769 51.827...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14350</th>\n",
+       "      <td>14351</td>\n",
+       "      <td>14923</td>\n",
+       "      <td>307.562192</td>\n",
+       "      <td>Aleutian Islands tundra</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>51102</td>\n",
+       "      <td>53</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12141</td>\n",
+       "      <td>NA1102</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>Nearctic</td>\n",
+       "      <td>2.051191</td>\n",
+       "      <td>0.039813</td>\n",
+       "      <td>POLYGON ((178.72436 51.64820, 178.71963 51.652...</td>\n",
+       "      <td>SDG #15: Life on Land &amp; SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>14351 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       OBJECTID_1  OBJECTID          AREA  \\\n",
+       "0               1         1     29.802942   \n",
+       "1               2         2     11.977824   \n",
+       "2               3         3  77301.372760   \n",
+       "3               4         4    215.489182   \n",
+       "4               5         5     19.639089   \n",
+       "...           ...       ...           ...   \n",
+       "14346       14347     14919      1.688307   \n",
+       "14347       14348     14920     10.182745   \n",
+       "14348       14349     14921      4.357807   \n",
+       "14349       14350     14922     30.425075   \n",
+       "14350       14351     14923    307.562192   \n",
+       "\n",
+       "                                      ECO_NAME REALM  BIOME  ECO_NUM  ECO_ID  \\\n",
+       "0      Northern Mesoamerican Pacific mangroves    NT     14        4   61404   \n",
+       "1      Northern Mesoamerican Pacific mangroves    NT     14        4   61404   \n",
+       "2                         Sinaloan dry forests    NT      2       28   60228   \n",
+       "3      Northern Mesoamerican Pacific mangroves    NT     14        4   61404   \n",
+       "4      Northern Mesoamerican Pacific mangroves    NT     14        4   61404   \n",
+       "...                                        ...   ...    ...      ...     ...   \n",
+       "14346                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "14347                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "14348                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "14349                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "14350                  Aleutian Islands tundra    NA     11        2   51102   \n",
+       "\n",
+       "       ECO_SYM  GBL_STAT  ... G200_STAT  area_km2  eco_code  BIOME_1  \\\n",
+       "0          119         1  ...         0      8174    NT1404            \n",
+       "1          119         1  ...         0      8174    NT1404            \n",
+       "2           98         1  ...         1     77362    NT0228            \n",
+       "3          119         1  ...         0      8174    NT1404            \n",
+       "4          119         1  ...         0      8174    NT1404            \n",
+       "...        ...       ...  ...       ...       ...       ...      ...   \n",
+       "14346       53         3  ...         0     12141    NA1102            \n",
+       "14347       53         3  ...         0     12141    NA1102            \n",
+       "14348       53         3  ...         0     12141    NA1102            \n",
+       "14349       53         3  ...         0     12141    NA1102            \n",
+       "14350       53         3  ...         0     12141    NA1102            \n",
+       "\n",
+       "       GBL_STAT_1     REALM_1 Shape_Length Shape_Area  \\\n",
+       "0                  Neotropics     0.219475   0.002769   \n",
+       "1                  Neotropics     0.193289   0.001111   \n",
+       "2                  Neotropics   111.951414   6.879188   \n",
+       "3                  Neotropics     1.273654   0.019701   \n",
+       "4                  Neotropics     0.363068   0.001791   \n",
+       "...           ...         ...          ...        ...   \n",
+       "14346                Nearctic     0.061822   0.000221   \n",
+       "14347                Nearctic     0.195331   0.001331   \n",
+       "14348                Nearctic     0.120040   0.000570   \n",
+       "14349                Nearctic     0.395223   0.003964   \n",
+       "14350                Nearctic     2.051191   0.039813   \n",
+       "\n",
+       "                                                geometry  \\\n",
+       "0      POLYGON ((-112.30433 29.33480, -112.29035 29.3...   \n",
+       "1      POLYGON ((-112.19639 29.20719, -112.19669 29.2...   \n",
+       "2      POLYGON ((-108.40314 28.29783, -108.41069 28.3...   \n",
+       "3      POLYGON ((-110.58808 27.85878, -110.59068 27.8...   \n",
+       "4      POLYGON ((-110.53048 27.31542, -110.55385 27.3...   \n",
+       "...                                                  ...   \n",
+       "14346  POLYGON ((178.30938 51.98459, 178.30050 51.992...   \n",
+       "14347  POLYGON ((177.71160 51.95987, 177.71102 51.964...   \n",
+       "14348  POLYGON ((178.36743 51.96625, 178.37353 51.969...   \n",
+       "14349  POLYGON ((178.33270 51.82403, 178.32769 51.827...   \n",
+       "14350  POLYGON ((178.72436 51.64820, 178.71963 51.652...   \n",
+       "\n",
+       "                                            SDG_MAPPING  \n",
+       "0      SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "1      SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "2      SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "3      SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "4      SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "...                                                 ...  \n",
+       "14346  SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "14347  SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "14348  SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "14349  SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "14350  SDG #15: Life on Land & SDG #13: Climate Actions  \n",
+       "\n",
+       "[14351 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Implement the mapping function defined and save the datasets \n",
+    "terrestrial_eco_regions['SDG_MAPPING'] = terrestrial_eco_regions.apply(map_terrestrial_regions_to_sdg, axis=1)\n",
+    "terrestrial_eco_regions.to_file('TerrestrialEcoregionsoftheWorld_WWF.geojson', driver='GeoJSON')\n",
+    "terrestrial_eco_regions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "af00d96e-80b0-4a2f-a0df-c1c83884381c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Data visualisation using Bar Chart\n",
+    "sdg_terrestrial_region_count = terrestrial_eco_regions['SDG_MAPPING'].value_counts()\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sdg_terrestrial_region_count.plot(kind='bar', color=['seagreen'])\n",
+    "plt.title('Distribution of SDGs in Terrestrial Eco Regions using WWF map')\n",
+    "plt.xlabel('Sustainable Development Goals')\n",
+    "plt.ylabel('Number of Terrestrial Eco Regions')\n",
+    "plt.xticks(rotation=0)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "869b336a-c797-4a4a-9987-ae8df3b15120",
+   "metadata": {},
+   "source": [
+    "### CLIMATE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "25303253-55db-455f-862b-3c9d609035bd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CLASS_NAME</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((-37.65000 83.50000, -37.65000 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((-38.75000 83.40000, -38.75000 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((-38.60000 83.40000, -38.60000 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((-37.15000 83.40000, -37.15000 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>MULTIPOLYGON (((-40.40000 83.40000, -40.40000 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26160</th>\n",
+       "      <td>1</td>\n",
+       "      <td>MULTIPOLYGON (((-26.35000 -58.40000, -26.35000...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26161</th>\n",
+       "      <td>1</td>\n",
+       "      <td>MULTIPOLYGON (((-26.65000 -59.00000, -26.65000...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26162</th>\n",
+       "      <td>1</td>\n",
+       "      <td>MULTIPOLYGON (((-27.40000 -59.40000, -27.40000...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26163</th>\n",
+       "      <td>1</td>\n",
+       "      <td>MULTIPOLYGON (((-27.25000 -59.40000, -27.25000...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26164</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((172.85000 61.35000, 172.85000 ...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>26165 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       CLASS_NAME                                           geometry\n",
+       "0               0  MULTIPOLYGON (((-37.65000 83.50000, -37.65000 ...\n",
+       "1               0  MULTIPOLYGON (((-38.75000 83.40000, -38.75000 ...\n",
+       "2               0  MULTIPOLYGON (((-38.60000 83.40000, -38.60000 ...\n",
+       "3               0  MULTIPOLYGON (((-37.15000 83.40000, -37.15000 ...\n",
+       "4               5  MULTIPOLYGON (((-40.40000 83.40000, -40.40000 ...\n",
+       "...           ...                                                ...\n",
+       "26160           1  MULTIPOLYGON (((-26.35000 -58.40000, -26.35000...\n",
+       "26161           1  MULTIPOLYGON (((-26.65000 -59.00000, -26.65000...\n",
+       "26162           1  MULTIPOLYGON (((-27.40000 -59.40000, -27.40000...\n",
+       "26163           1  MULTIPOLYGON (((-27.25000 -59.40000, -27.25000...\n",
+       "26164           0  MULTIPOLYGON (((172.85000 61.35000, 172.85000 ...\n",
+       "\n",
+       "[26165 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "climate_data = gpd.read_file(r'/home/naza/Downloads/IPCC_ClimateZoneMap_Vector.geojson')\n",
+    "climate_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "328e3d4c-55c1-44c1-a7bf-c02d3dc70ed9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Functions defined for mapping each datasets (climate)\n",
+    "def map_climate_to_sdg(row):\n",
+    "    return \"SDG #13: Climate Actions\"\n",
+    "# This is because all the zones mapped are relevant for the SDG Climate Actions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "8ec7a8ac-2f1f-4537-a139-f9cf6e29d1e5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CLASS_NAME</th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>SDG_MAPPING</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((-37.65000 83.50000, -37.65000 ...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((-38.75000 83.40000, -38.75000 ...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((-38.60000 83.40000, -38.60000 ...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((-37.15000 83.40000, -37.15000 ...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>MULTIPOLYGON (((-40.40000 83.40000, -40.40000 ...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26160</th>\n",
+       "      <td>1</td>\n",
+       "      <td>MULTIPOLYGON (((-26.35000 -58.40000, -26.35000...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26161</th>\n",
+       "      <td>1</td>\n",
+       "      <td>MULTIPOLYGON (((-26.65000 -59.00000, -26.65000...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26162</th>\n",
+       "      <td>1</td>\n",
+       "      <td>MULTIPOLYGON (((-27.40000 -59.40000, -27.40000...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26163</th>\n",
+       "      <td>1</td>\n",
+       "      <td>MULTIPOLYGON (((-27.25000 -59.40000, -27.25000...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26164</th>\n",
+       "      <td>0</td>\n",
+       "      <td>MULTIPOLYGON (((172.85000 61.35000, 172.85000 ...</td>\n",
+       "      <td>SDG #13: Climate Actions</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>26165 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       CLASS_NAME                                           geometry  \\\n",
+       "0               0  MULTIPOLYGON (((-37.65000 83.50000, -37.65000 ...   \n",
+       "1               0  MULTIPOLYGON (((-38.75000 83.40000, -38.75000 ...   \n",
+       "2               0  MULTIPOLYGON (((-38.60000 83.40000, -38.60000 ...   \n",
+       "3               0  MULTIPOLYGON (((-37.15000 83.40000, -37.15000 ...   \n",
+       "4               5  MULTIPOLYGON (((-40.40000 83.40000, -40.40000 ...   \n",
+       "...           ...                                                ...   \n",
+       "26160           1  MULTIPOLYGON (((-26.35000 -58.40000, -26.35000...   \n",
+       "26161           1  MULTIPOLYGON (((-26.65000 -59.00000, -26.65000...   \n",
+       "26162           1  MULTIPOLYGON (((-27.40000 -59.40000, -27.40000...   \n",
+       "26163           1  MULTIPOLYGON (((-27.25000 -59.40000, -27.25000...   \n",
+       "26164           0  MULTIPOLYGON (((172.85000 61.35000, 172.85000 ...   \n",
+       "\n",
+       "                    SDG_MAPPING  \n",
+       "0      SDG #13: Climate Actions  \n",
+       "1      SDG #13: Climate Actions  \n",
+       "2      SDG #13: Climate Actions  \n",
+       "3      SDG #13: Climate Actions  \n",
+       "4      SDG #13: Climate Actions  \n",
+       "...                         ...  \n",
+       "26160  SDG #13: Climate Actions  \n",
+       "26161  SDG #13: Climate Actions  \n",
+       "26162  SDG #13: Climate Actions  \n",
+       "26163  SDG #13: Climate Actions  \n",
+       "26164  SDG #13: Climate Actions  \n",
+       "\n",
+       "[26165 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Implement the mapping function defined and save the datasets \n",
+    "climate_data['SDG_MAPPING'] = climate_data.apply(map_climate_to_sdg, axis=1)\n",
+    "climate_data.to_file('IPCC_ClimateZoneMap_Vector.geojson', driver='GeoJSON')\n",
+    "climate_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "40c03650-7690-4ade-9754-02eabed16dfc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Data visualisation using Bar Chart\n",
+    "sdg_climate_count = climate_data['SDG_MAPPING'].value_counts()\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sdg_climate_count.plot(kind='bar', color=['brown', 'peru'])\n",
+    "plt.title('Distribution of SDGs in Climate Zones using IPCC map')\n",
+    "plt.xlabel('Sustainable Development Goals')\n",
+    "plt.ylabel('Number of Climate Zones')\n",
+    "plt.xticks(rotation=0)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa6a686e-ee66-43d0-9d24-7a2f07ff8119",
+   "metadata": {},
+   "source": [
+    "### References\n",
+    "Uited Nations Department of Economic and Social Affairs - Sustainable Development (https://sdgs.un.org/goals)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}