This ReadMe is for understanding how to build your own conda environment

The beauty of doing this is that Anaconda you will provide stable package installation. This should work 90% of the time

1. Create a conda environment

conda create --name geoanalyst python=3.6, jupyter notebook

1. Add Conda Forge Channel

conda config --add channels conda-forge

1. Activates your conda environment

source activate geoanalyst

1. Install your packages I strongly recommend verified packages from Conda-Forge

GDAL

Use GDAL Version 2.2 or greater gdal=2.2.0

conda install -c conda-forge gdal

Down Stream Packages that build upon others (Dependencies)

conda install -c conda-forge geopandas

Geopandas

Dependencies Required dependencies:

1. numpy
2. pandas (version 0.23.4 or later)
3. shapely (interface to GEOS)
4. fiona (interface to GDAL)
5. pyproj (interface to PROJ)
6. six Optional dependencies are:
7. rtree (optional; spatial index to improve performance and required for overlay operations; interface to libspatialindex)
8. psycopg2 (optional; for PostGIS connection)
9. geopy (optional; for geocoding)
10. matplotlib (>= 2.0.1)
11. descartes

I recommend these libraries

conda install -c conda-forge psycopg2 #For working with databases conda install -c conda-forge georasters conda install -c conda-forge geojson conda install -c anaconda beautifulsoup4

GeoVisualization

1. Folium

conda install folium -c conda-forge

2. Bokeh

conda install bokeh