Project Icon

turf

强大的JavaScript空间分析库

Turf是一个开源的JavaScript模块化地理空间分析库,提供多种空间操作、GeoJSON处理和统计分析功能。支持浏览器和Node.js环境,可用于处理点线面等几何数据。适用于开发地图应用、位置服务和地理信息系统,是空间数据分析的有力工具。广泛应用于地图开发、地理信息系统和位置服务等领域。

turf

GitHub Actions Status Version Badge Gitter chat Backers on Open Collective Sponsors on Open Collective Coverage Status

A modular geospatial engine written in JavaScript

turfjs.org


Turf is a JavaScript library for spatial analysis. It includes traditional spatial operations, helper functions for creating GeoJSON data, and data classification and statistics tools. Turf can be added to your website as a client-side plugin, or you can run Turf server-side with Node.js (see below).

Installation

In Node.js

# get all of turf
npm install @turf/turf

# or get individual packages
npm install @turf/helpers
npm install @turf/buffer

In browser

Download the minified file, and include it in a script tag. This will expose a global variable named turf.

<script src="turf.min.js" charset="utf-8"></script>

You can also include it directly from a CDN:

<script src="https://cdn.jsdelivr.net/npm/@turf/turf@6/turf.min.js"></script>

TypeScript

TypeScript definitions are packaged with each module. No DefinitelyTyped packages required.

Other languages

Ports of Turf.js are available in:

  • Java (Android, Java SE)
  • Swift (iOS, macOS, tvOS, watchOS, Linux)
    • Turf for Swift is experimental and its public API is subject to change. Please use with care.

  • Dart/Flutter (Dart Web, Dart Native; Flutter for iOS, Android, macOS, Windows, Linux, Web)
    • The Turf for Dart port is still in progress, the implementation status can be found in the README.


Data in Turf

Turf uses GeoJSON for all geographic data. Turf expects the data to be standard WGS84 longitude, latitude coordinates. Check out geojson.io for a tool to easily create this data.

NOTE: Turf expects data in (longitude, latitude) order per the GeoJSON standard.

Most Turf functions work with GeoJSON features. These are pieces of data that represent a collection of properties (ie: population, elevation, zipcode, etc.) along with a geometry. GeoJSON has several geometry types such as:

  • Point
  • LineString
  • Polygon

Turf provides a few geometry functions of its own. These are nothing more than simple (and optional) wrappers that output plain old GeoJSON. For example, these two methods of creating a point are functionally equivalent:

// Note order: longitude, latitude.
var point1 = turf.point([-73.988214, 40.749128]);

var point2 = {
  type: 'Feature',
  geometry: {
    type: 'Point',
    // Note order: longitude, latitude.
    coordinates: [-73.988214, 40.749128]
  },
  properties: {}
};

Browser support

Turf packages are compiled to target ES2017. However, the browser version of @turf/turf is transpiled to also include support for IE11. If you are using these packages and need to target IE11, please transpile the following packages as part of your build:

@turf/*
robust-predicates
rbush
tinyqueue

Contributors

This project exists thanks to all the people who contribute. If you are interested in helping, check out the Contributing Guide.

Backers

Thank you to all our backers! 🙏 [Become a backer]

Sponsors

Support this project by becoming a sponsor. Your logo will show up here with a link to your website. [Become a sponsor]

项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

吐司

探索Tensor.Art平台的独特AI模型,免费访问各种图像生成与AI训练工具,从Stable Diffusion等基础模型开始,轻松实现创新图像生成。体验前沿的AI技术,推动个人和企业的创新发展。

Project Cover

SubCat字幕猫

SubCat字幕猫APP是一款创新的视频播放器,它将改变您观看视频的方式!SubCat结合了先进的人工智能技术,为您提供即时视频字幕翻译,无论是本地视频还是网络流媒体,让您轻松享受各种语言的内容。

Project Cover

美间AI

美间AI创意设计平台,利用前沿AI技术,为设计师和营销人员提供一站式设计解决方案。从智能海报到3D效果图,再到文案生成,美间让创意设计更简单、更高效。

Project Cover

AIWritePaper论文写作

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号