lawn is an R package to provide access to the geospatial analysis capabilities in the
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.
rgeos) do provide similar analysis capabilities; however, they require data be converted to
sp objects and also have external dependencies (e.g.
geos) that can be challenging to maintain on some systems (Roger S Bivand, Pebesma, and Gómez-Rubio 2013; Roger S. Bivand and Rundel 2016; GDAL Development Team 2015; Team 2016). To address these challenges and facilitate geospatial analysis of GeoJSON formatted data, we developed the
Bivand, Roger S, Edzer Pebesma, and Virgilio Gómez-Rubio. 2013. Applied Spatial Data Analysis with R. 2nd ed. Springer.
Bivand, Roger S., and C. Rundel. 2016. Rgeos: Interface to Geometry Engine - Open Source (Geos). https://CRAN.R-project.org/package=rgeos.
GDAL Development Team. 2015. GDAL - Geospatial Data Abstraction Library, Version 1.11.3. Open Source Geospatial Foundation. http://www.gdal.org.
Herlocker, Morgan. 2016. “Turf: Advanced Geospatial Analysis for Browsers and Node.” http://turfjs.org/.
R Core Team. 2016. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Team, GEOS Development. 2016. GEOS - Geometry Engine, Open Source. Open Source Geospatial Foundation. https://trac.osgeo.org/geos/.