R for data science: a book

Geocomputation with R: an open source book

Simple Features for R

🔏 Opinionated, typographic-centric ggplot2 themes and theme components

Color palette package in R inspired by works at the Metropolitan Museum of Art in New York

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.

Google Earth Engine for R

Code and plots for submissions to the #tidytuesday challenge

Statistical Rethinking Course Winter 2020/2021

Spatiotemporal Arrays, Raster and Vector Data Cubes

Satellite image time series in R

🔗 Methods for Correlation Analysis

[Read-Only] All R code and source files for the online guide "Doing Meta-Analysis with R: A Hands-On Guide"

Thematic Cartography for R

Curated resources about Data Visualization, Drawing & Publishing in R

Enhancing spatial visualization in ggplot2

radar charts with ggplot2

Exercise solutions to "R for Data Science"

Data Analysis and Visualization in R for Ecologists

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

🛠️ 🌐 Thematic list of high-quality data science resources

Remote Sensing Data Analysis in R 🛰

Thematic cartography with R

Machine Learning algorithms for spatial and spatiotemporal data

My contribution to the #TidyTuesday challenge, with the visualizations and code

Colour Schemes for Scientific Data Visualization - ❗ This is a read-only mirror from https://codeberg.org/tesselle/khroma

tidyverse and ggplot2 methods for terra spatial objects

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

Entries for tidytuesday

WhiteboxTools R Frontend