R

This tutorial shows you how to capture the expansion of built-up surfaces in the world's largest urban areas using R.

This workshops offers an introduction to Geographic Data Science. It provides an introduction to fundamental concepts of geographic data science using a hands-on approach in R.

This blog post will explore how Zarr files can be read in R using the GDAL 'classic' raster API and the relatively new GDAL multidimensional array API.

The s2 R package provides geometry transformers and predicates similar to those found in GEOS, except instead of assuming a planar geometry, s2's functions work in latitude and longitude.

The goal of mapiso R package is to ease the transformation of regularly spaced grids containing continuous data into contour polygons. Learn more here.

The leaflet R package makes it easy to integrate and control Leaflet maps in R. Here is a cheat sheet guiding you in using the leaflet package.

This workbook is a quick (3-hour) overview of mapping, GIScience, and spatial analysis basics for health professionals. A basic understanding of R is assumed.

The spatstat package has extensive capabilities for exploratory analysis, statistical modelling, simulation and statistical inference with a strong focus on analysing spatial point patterns in 2D.

This post shows you how to access public Google Earth Engine assets, view and analyze them, and save as a portable GeoTIFF format using only the terra R package.

This talk introduces a geospatial extension to the Parquet file format (GeoParquet) and a geospatial extension to the Arrow columnar format (GeoArrow).