r-mapgl

Generate interactive WebGL maps in R using the mapgl package.

19|1|Updated Mar 3, 2026

Search Tags:#visualization #r #webgl #mapping #gis #shiny

Ready to run

npx skills add https://github.com/arthurgailes/awesome-r-skills --skill r-mapgl

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: r-mapgl
Source: https://github.com/arthurgailes/awesome-r-skills/tree/main/skills/r-mapgl
Command: npx skills add https://github.com/arthurgailes/awesome-r-skills --skill r-mapgl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users create interactive, GPU-accelerated maps in R, suitable for web applications and Shiny dashboards, by leveraging Mapbox GL JS and MapLibre GL JS.

Core Features & Use Cases

Interactive Mapping: Build dynamic maps with smooth zooming, panning, and vector tile support.
Shiny Integration: Seamlessly embed interactive maps within R Shiny applications.
Data Visualization: Visualize large spatial datasets efficiently using WebGL.

Quick Start

Use the r-mapgl skill to create a basic interactive map using the provided 'nc' spatial data.

Frequently Asked Questions about r-mapgl

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create interactive WebGL maps in R?▼

Create interactive WebGL maps in R using the mapgl package, which leverages Mapbox GL JS and MapLibre GL JS for dynamic visualizations. It supports smooth zooming, panning, and vector tile rendering within web applications.

Can I embed Mapbox GL JS maps in a Shiny application?▼

Yes, you can embed Mapbox GL JS maps in a Shiny application using the mapgl package. It facilitates seamless Shiny integration, allowing you to build dynamic dashboards with interactive mapping features.

Do I need an API key to use MapLibre GL JS for R mapping?▼

An API key is optional when using MapLibre GL JS for R mapping, but you will need one if you choose Mapbox or MapTiler services. The mapgl package requires an R environment with the package installed.

What is the best way to visualize large spatial datasets in R?▼

The best way to visualize large spatial datasets in R is using GPU-accelerated WebGL maps. The mapgl package handles large datasets efficiently by rendering vector tiles, 3D terrain, and custom layer styles dynamically.

Does mapgl support 3D terrain and custom layer styling?▼

Yes, mapgl supports 3D terrain and custom layer styling. It leverages Mapbox GL JS and MapLibre GL JS to facilitate advanced mapping features, enabling dynamic visualizations in R Shiny applications.