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Simple Features for R

R interface to Deck.gl and Mapbox

Interface to ChatGPT from R

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

R Package for accessing and plotting Google Maps

WhiteboxTools R Frontend

Agricultural datasets

Systematic conservation prioritization in R

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

Conversion between sf and geojson

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.

An ecological niche model workflow based on dismo

Approximate Network Integration, Matching, and Enrichment