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README.md
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README.md
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@ -18,43 +18,33 @@ L7 focuses on geographic data expressiveness,interaction and design of geogra
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## 🌟 Highlight features of L7 2.0
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🌏 Data-driven Visualization
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- 🌏 Data-driven Visualization
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Layer visualization API design base Semiology of Graphics.
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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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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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- 🌏 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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🌏 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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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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### 📦 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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### Init Map by L7 scene
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```javascript
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import { Scene } from '@antv/l7';
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})
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```
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### add Layer
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### Add Layer
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``` javascript
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@ -89,30 +79,29 @@ scene.addLayer(pointLayer);
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```
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## Documentation
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## :memo: Documentation
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[Getting started with L7](https://l7.antv.vision/en/docs/api/l7)
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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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[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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## 🔨 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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```bash
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yarn start
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```
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visit http://localhost:8000/
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Visit http://localhost:8000/
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## ✅ License
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