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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/

✅ License

MIT license.

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L7