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Simple Features for R

Easy access to official spatial data sets of Brazil in R and Python

Sustainable transport planning with R

R interface to Deck.gl and Mapbox

R package for downloading OpenStreetMap data

R interface to many NOAA data APIs

Interface to ChatGPT from R

gpttools extends gptstudio for package development to help you document code, write tests, or even explain code

An R package to hold and facilitate interaction with natural earth map data :earth_africa:

Thematic cartography with R

R Package for accessing and plotting Google Maps

An R 📦 for getting point and gridded climate data by AOI

Download and import OpenStreetMap data from Geofabrik and other providers

WhiteboxTools R Frontend

High performance raster conversion for modern spatial data 🚀🌏▦

Agricultural datasets

Data visualisation using OpenStreetMap objects

R package implementing edge bundling algorithms

Systematic conservation prioritization in R

Deep learning for medical images in R: semantic and instance segmentation, object detection, 2D and 3D, DICOM and NIfTI, one specification.

Creating and analyzing Earth observation data cubes in R

Data Access Client for Global Surface Summary of the Day (GSOD) Weather Written in R

R interface to Brazilian Central Bank web services

Targets extensions for geospatial data

Conversion between sf and geojson

Download and import geographical data from Eurostat GISCO into R.

nlrx NetLogo R

The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

📦 R package to simulate neutral landscape models 🏔