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Dec 21, 2017


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A modular geospatial engine written in JavaScript

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).


In Node.js

npm install @turf/turf

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=""></script>

You can create light-weight turf builds with only the functions you need using the turfjs-builder UI or using browserify as described below.


All of Turf's functions can also be installed as separate modules. This works well with tools like browserify where you want to install only the code you need. It also allows you to mix and match modules. This is the recommended usage pattern for most production environments. For example, to install the point and buffer modules use:

npm install @turf/helpers @turf/buffer


TypeScript is supported internally within each module, no installs required.

Other languages

Ports of Turf.js are available in:

Turf for Swift is experimental and its public API is subject to change. Please use with care.

Data in Turf

Turf uses GeoJSON for all geographic data. Turf expects the data to be standard WGS84 longitude, latitude coordinates. Check out 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: {}


This project exists thanks to all the people who contribute. [Contribute].


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