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The mapgl R package makes the latest versions of Mapbox GL JS and MapLibre GL JS available to R users. The package interface is designed to make the powerful capabilities of both libraries available in R mapping projects, but also feel similar to users coming from other R mapping packages.
The main features of walkerke/mapgl are: Geospatial Mapping.
Projects with overlapping indexed features include: plotly/plotly.js — Plotly.js is a JavaScript charting library and interactive graphing framework used to create web-based visualizations.… pa7/heatmap.js — heatmap.js is a JavaScript data visualization library used to render data density visualizations on a web page. It… bmwcarit/barefoot — Java map matching library for integrating the map into software and services with state-of-the-art online and offline… crazycapivara/deckgl — Status](https://travis-ci.org/crazycapivara/deckgl.svg?branch=master)](https://travis-ci.org/crazycapivara/deckgl)… crazycapivara/r2deck — r2deck - An R Interface to deck.gl and Mapbox GL Visualizations. cesiumgs/3d-tiles — Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:.
Plotly.js is a JavaScript charting library and interactive graphing framework used to create web-based visualizations. It functions as a high-performance data visualization engine that utilizes both SVG for static elements and WebGL for hardware-accelerated rendering of large datasets and complex 3D plots. The library is distinguished by specialized toolkits for financial analysis, such as candlestick and OHLC charts, and geographic mapping tools for rendering choropleth and scatter maps with custom projections. It also supports complex scientific visualizations, including Sankey diagrams, pa
heatmap.js is a JavaScript data visualization library used to render data density visualizations on a web page. It functions as an HTML5 canvas heatmap library that represents the intensity of data points across a coordinate system using color gradients. The library provides tools for geospatial distribution mapping and user behavior analysis, such as mapping click patterns and interaction hotspots. It is also used to add visual intensity layers to interactive data dashboards to identify trends and anomalies.
Java map matching library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas: