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A suite of 3D-enabled data visualization overlays, suitable for react-map-gl
deck.gl is a powerful WebGL-powered framework for visual exploratory data analysis of large datasets. It provides a suite of highly performant, customizable layers for rendering complex data visualizations on top of maps.
ScatterplotLayer
The ScatterplotLayer is used to render scatter plot points on a map. Each point can be customized with different sizes and colors.
const {DeckGL, ScatterplotLayer} = require('deck.gl');
const scatterplotLayer = new ScatterplotLayer({
id: 'scatterplot-layer',
data: [
{position: [-122.45, 37.78], size: 100},
{position: [-122.46, 37.79], size: 200}
],
getPosition: d => d.position,
getRadius: d => d.size,
getColor: [255, 0, 0]
});
const deckgl = new DeckGL({
initialViewState: {
longitude: -122.45,
latitude: 37.78,
zoom: 12
},
controller: true,
layers: [scatterplotLayer]
});
GeoJsonLayer
The GeoJsonLayer is used to render GeoJSON data. It supports features like picking, extruding, and coloring of GeoJSON polygons.
const {DeckGL, GeoJsonLayer} = require('deck.gl');
const geoJsonLayer = new GeoJsonLayer({
id: 'geojson-layer',
data: 'https://raw.githubusercontent.com/uber-common/deck.gl-data/master/examples/geojson/vancouver-blocks.json',
pickable: true,
stroked: false,
filled: true,
extruded: true,
getFillColor: [160, 160, 180, 200],
getLineColor: [255, 255, 255],
getRadius: 100,
getLineWidth: 1
});
const deckgl = new DeckGL({
initialViewState: {
longitude: -123.1,
latitude: 49.28,
zoom: 11
},
controller: true,
layers: [geoJsonLayer]
});
ArcLayer
The ArcLayer is used to render arcs between pairs of coordinates. It is useful for visualizing connections or flows between locations.
const {DeckGL, ArcLayer} = require('deck.gl');
const arcLayer = new ArcLayer({
id: 'arc-layer',
data: [
{source: [-122.45, 37.78], target: [-122.46, 37.79]},
{source: [-122.46, 37.79], target: [-122.47, 37.80]}
],
getSourcePosition: d => d.source,
getTargetPosition: d => d.target,
getSourceColor: [0, 128, 200],
getTargetColor: [255, 0, 0],
getWidth: 2
});
const deckgl = new DeckGL({
initialViewState: {
longitude: -122.45,
latitude: 37.78,
zoom: 12
},
controller: true,
layers: [arcLayer]
});
Leaflet is a popular open-source JavaScript library for mobile-friendly interactive maps. It is lightweight and easy to use, but it does not offer the same level of performance and customization for large datasets as deck.gl.
Mapbox GL JS is a powerful library for interactive, customizable vector maps. It offers high performance and a wide range of features, but it is more focused on map rendering and less on data visualization compared to deck.gl.
Three.js is a JavaScript library for creating 3D graphics in the browser. While it is highly versatile and powerful for 3D rendering, it requires more effort to set up and use for data visualization compared to deck.gl.
A WebGL overlay suite for React providing a set of highly performant data visualization overlays.
Design goals:
Layer
.Features:
npm install --save deck.gl
## Usage
import { DeckGLOverlay, /* import layers here */ } from 'deck.gl';
const mapState = { latitude: 37.55, longitude: -122.2, zoom: 9, ... }
<DeckGLOverlay width={1920} height={1080} mapState={mapState}, // optional layers={[/* put layer instances here */]} />
---
## Example
npm run start
Note: Building deck.gl (not importing) has a dependency on node version 0.12 or higher. If you use an older version, you can install a node version manager like nvm and use a separate shell to install and build deck.gl
npm install -g nvm && nvm install 0.12 && nvm use 0.12
[v3.0.0-beta26] -
DeckGL
component now cancels animation loop on unmount.blending
prop from react componentsFAQs
A suite of 3D-enabled data visualization overlays, suitable for react-map-gl
The npm package deck.gl receives a total of 103,736 weekly downloads. As such, deck.gl popularity was classified as popular.
We found that deck.gl demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 10 open source maintainers collaborating on the project.
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