Top R Frameworks & Libraries for spatial

Open source book: Geocomputation with R

Simple Features for R

R package for thematic maps

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

Spatiotemporal Arrays, Raster and Vector Data Cubes

Interactive viewing of spatial data in R

Sustainable transport planning with R

Enhancing spatial visualization in ggplot2

An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta....

A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution

R Package for accessing and plotting Google Maps

Spatial data in R: using R as a GIS

Interactive editing of spatial data in R

Landscape Metrics for Categorical Map Patterns 🗺️ in R

Thematic cartography with R

Machine Learning algorithms for spatial and spatiotemporal data

Sources of the book "Displaying time series, spatial and space-time data with R" (1st Edition)

Single-cell spatial analysis toolbox

Create maps made of (ridge) lines

Classes and methods for spatial data

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-s...

Code, data and prose of the book: Spatial Microsimulation with R

Global spatial predictions of soil properties and classes at 250 m resolution

Get appropriate CRS suggestions for your spatial data in R

Spatial Feature Smoothing in R

R package to print maps, draw on them, and scan them back in

Spatial Dependence: Weighting Schemes and Statistics

Set of utilities and wrappers to perform change detection on satellite image time-series (Landsat and MODIS). Includes pre-processing steps and functions for spati...

Systematic conservation prioritization in R

The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatiall...

Geocomputation with R: an open source book

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics...

Spatial omics analysis toolbox

:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB

tidyverse and ggplot2 methods for terra spatial objects

Spatial Transcriptomics Capture Location Deconvolution

A tidy interface for spatial dependence

R package to fit spatial models with Random Forest

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Reference-free cell-type deconvolution of multi-cellular spatially resolved transcriptomics data

Bayesian model for clustering and enhancing the resolution of spatial gene expression experiments.