mirror of https://gitee.com/antv-l7/antv-l7
131 lines
2.7 KiB
Markdown
131 lines
2.7 KiB
Markdown
# L7
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[](https://travis-ci.com/antvis/L7) [](https://www.npmjs.com/package/@antv/l7) 
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Large-scale WebGL-powered Geospatial data visualization analysis framework.
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[中文 README](./README.zh-CN.md)
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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.
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L7 focuses on geographic data expressiveness，interaction and design of geographic visualization layers. The basemaps on the platform are powered by third-party services
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## 🌄 l7 visualization demos
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## 🌟 Highlight features of L7 2.0
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🌏 Data-driven Visualization
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Layer visualization API design base Semiology of Graphics.
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it supports rich map visualization types for a better insight on data.
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🌏High performance rendering with 2D/3D effect
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Real-time and dynamic rendering with millions of spatial data.
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🌏 Simple and flexible data format:
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L7 supports a wide variety of data formats including CSV, JSON, geojson, among others, eliminating the need to run conversions ahead of time.
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🌏Multi-basemap:
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For global users, Mapbox is easy to be embedded by a simple line of code.
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## Getting Started
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.
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### 📦 Installation
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```
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npm install @antv/l7@beta
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```
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### init Map by L7 scene
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```javascript
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import { Scene } from '@antv/l7';
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import { Mapbox } from '@antv/l7-maps';
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new Scene({
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id: 'map',
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map: new Mapbox({
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style: 'light',
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pitch: 0,
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center: [ 107.054293, 35.246265 ],
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zoom: 4.056
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})
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})
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```
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### add Layer
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``` javascript
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import { PointLayer } from '@antv/l7';
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const pointLayer = new PointLayer()
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.source(data)
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.shape('circle')
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.size('mag', [ 1, 25 ])
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.color('mag',['#5B8FF9', '#5CCEA1'])
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.style({
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opacity: 0.3,
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strokeWidth: 1
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});
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scene.addLayer(pointLayer);
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```
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## Documentation
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[Getting started with L7](https://l7.antv.vision/en/docs/api/l7)
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[Tutorials](https://l7.antv.vision/en/docs/tutorial/quickstart)
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[API documentation](https://l7.antv.vision/en/docs/api/l7)
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[Examples](https://l7.antv.vision/en/examples/gallery/basic)
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## 🔨 Development
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使用 Yarn Workspace 完成依赖安装以及各包之间的 link 工作：
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```bash
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yarn install
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```
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开发模式：
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```bash
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yarn watch
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```
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运行 Demo，基于 Storybook：
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```bash
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yarn storybook
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```
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## view doc example
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```bash
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yarn start
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```
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visit http://localhost:8000/
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## ✅ License
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[MIT license](./LICENSE).
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