2.7 KiB
L7
Large-scale WebGL-powered Geospatial data visualization analysis framework.
Powered by WebGL, the rendering technology of L7 supports fast and efficient rendering of big data, 2D/3D rendering, possible through calculation and analysis of spatial data by GPU Parallel Compu-ting.
L7 focuses on geographic data expressiveness,interaction and design of geographic visualization layers. The basemaps on the platform are powered by third-party services
🌄 l7 visualization demos
🌟 Highlight features of L7 2.0
🌏 Data-driven Visualization
Layer visualization API design base Semiology of Graphics.
it supports rich map visualization types for a better insight on data.
🌏High performance rendering with 2D/3D effect
Real-time and dynamic rendering with millions of spatial data.
🌏 Simple and flexible data format:
L7 supports a wide variety of data formats including CSV, JSON, geojson, among others, eliminating the need to run conversions ahead of time.
🌏Multi-basemap:
For global users, Mapbox is easy to be embedded by a simple line of code.
Getting Started
.
📦 Installation
npm install @antv/l7@beta
init Map by L7 scene
import { Scene } from '@antv/l7';
import { Mapbox } from '@antv/l7-maps';
new Scene({
id: 'map',
map: new Mapbox({
style: 'light',
pitch: 0,
center: [ 107.054293, 35.246265 ],
zoom: 4.056
})
})
add Layer
import { PointLayer } from '@antv/l7';
const pointLayer = new PointLayer()
.source(data)
.shape('circle')
.size('mag', [ 1, 25 ])
.color('mag',['#5B8FF9', '#5CCEA1'])
.style({
opacity: 0.3,
strokeWidth: 1
});
scene.addLayer(pointLayer);
Documentation
🔨 Development
使用 Yarn Workspace 完成依赖安装以及各包之间的 link 工作:
yarn install
开发模式:
yarn watch
运行 Demo,基于 Storybook:
yarn storybook
view doc example
yarn start
visit http://localhost:8000/