R htmlwidget for datamaps, plot choropleth, overlay arcs and bubbles, customise options, easily interact with Shiny proxies.
Las características principales de johncoene/datamaps son: Geospatial Mapping.
Las alternativas de código abierto para johncoene/datamaps incluyen: 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: