draft of materials for JOSS submission.

.Rbuildignore

@@ -11,3 +11,6 @@ man-roxygen
 cran-comments.md
 ^CONDUCT\.md$
 ^cran-comments\.md$
+^paper\.bib$
+^paper\.md$
+^generate\.sh$

.gitignore

@@ -4,3 +4,4 @@
 .DS_Store
 .V8history
 .httr-oauth
+generate.sh

codemeta.json

@@ -0,0 +1,30 @@
+{
+  "@context": "https://raw.githubusercontent.com/mbjones/codemeta/master/codemeta.jsonld",
+  "@type": "Code",
+  "author": [
+    {
+      "@id": "0000-0003-1444-9135",
+      "@type": "Person",
+      "email": "[email protected]",
+      "name": "Scott Chamberlain",
+      "affiliation": "rOpenSci"
+    },
+    {
+      "@id": "0000-0002-9254-9740",
+      "@type": "Person",
+      "email": "[email protected]",
+      "name": "Jeffrey W. Hollister",
+      "affiliation": "US Environmental Protection Agency, Atlantic Ecology Division"
+    }
+  ],
+  "identifier": "",
+  "codeRepository": "https://github.com/ropensci/lawn",
+  "datePublished": "2016-12-16",
+  "dateModified": "2016-12-16",
+  "dateCreated": "2016-12-16",
+  "description": "This is an R package to provide access to the Turfjs library in R",
+  "keywords": "geospatial, javascript, GeoJSON",
+  "license": "MIT",
+  "title": "lawn: An R client for Turfjs for Geospatial Analysis",
+  "version": "v0.3.1"
+}

paper.bib

@@ -0,0 +1,48 @@
+@online{turfjs,
+  author = {Herlocker, Morgan},
+  title = {Turf: Advanced geospatial analysis for browsers and node},
+  year = 2016,
+  url = {http://turfjs.org/},
+  urldate = {2016-12-16}
+}
+
+@Manual{r,
+    title = {R: A Language and Environment for Statistical Computing},
+    author = {{R Core Team}},
+    organization = {R Foundation for Statistical Computing},
+    address = {Vienna, Austria},
+    year = {2016},
+    url = {https://www.R-project.org/},
+  }
+
+@book{bivand2013asdar,
+  author={Bivand, Roger S and Pebesma, Edzer and G{\'o}mez-Rubio, Virgilio},
+  title={Applied Spatial Data Analysis with R},
+  year={2013},
+  publisher={Springer},
+  edition = 2,
+}
+
+@Manual{rgeos,
+    title = {rgeos: Interface to Geometry Engine - Open Source (GEOS)},
+    author = {Bivand, Roger S. and Rundel, C.},
+    year = {2016},
+    note = {R package version 0.3-19},
+    url = {https://CRAN.R-project.org/package=rgeos},
+  }
+
+@Manual{gdal,
+    title = {GDAL - Geospatial Data Abstraction Library, Version 1.11.3},
+    author = {{GDAL Development Team}},
+    organization = {Open Source Geospatial Foundation},
+    year = {2015},
+    url = {http://www.gdal.org},
+}
+
+@Manual{geos,
+    title = {GEOS - Geometry Engine, Open Source},
+    author = {GEOS Development Team},
+    organization = {Open Source Geospatial Foundation},
+    year = {2016},
+    url = {https://trac.osgeo.org/geos/},
+}

paper.md

@@ -0,0 +1,29 @@
+---
+title: 'lawn: An R client for Turfjs for Geospatial Analysis'
+tags:
+  - geospatial
+  - GeoJSON
+  - javascript
+authors:
+ - name: Scott Chamberlain
+   orcid: 0000-0003-1444-9135
+   affiliation: 
+    - 1
+ - name: Jeffrey W. Hollister
+   orcid: 0000-0002-9254-9740
+   affiliation:
+    - 2
+affiliations:
+ - name: rOpenSci
+   index: 1
+ - name: US Environmental Protection Agency, Atlantic Ecology Division
+   index: 2
+date: 16 December 2016
+bibliography: paper.bib
+---
+
+# Summary
+
+`lawn` is an R package to provide access to the geospatial analysis capabilities in the `Turf` javascript library [@r; @turfjs].  `Turf` expects data in GeoJSON format. Given that many datasets are now available natively in GeoJSON providing an easier method for conducting geospatial analyses on these datasets in R is desired.  Additionally, many existing packages (e.g. `sp` and `rgeos`) do provide similar analysis capabilites; however, they require data be coverted to `sp` objects and also have external dependencies (e.g. `gdal` and `geos`) that can be challenging to maintain on some systems [@bivand2013asdar; @rgeos; @gdal; @geos]. To address these challenges and facilitate geospatial anlysis of GeoJSON formatted data, we developed the `lawn` package.     
+
+# References