turf distance-weight module

Usage no npm install needed!

<script type="module">
  import turfDistanceWeight from 'https://cdn.skypack.dev/@turf/distance-weight';




calcualte the Minkowski p-norm distance between two features.


  • feature1 point feature
  • feature2 point feature
  • p p-norm 1=<p<=infinity 1: Manhattan distance 2: Euclidean distance



  • fc FeatureCollection<any> FeatureCollection.
  • options Object? option object.
    • options.threshold number If the distance between neighbor and target features is greater than threshold, the weight of that neighbor is 0. (optional, default 10000)
    • options.p number Minkowski p-norm distance parameter. 1: Manhattan distance. 2: Euclidean distance. 1=<p<=infinity. (optional, default 2)
    • options.binary boolean If true, weight=1 if d <= threshold otherwise weight=0. If false, weight=Math.pow(d, alpha). (optional, default false)
    • options.alpha number distance decay parameter. A big value means the weight decay quickly as distance increases. (optional, default -1)
    • options.standardization boolean row standardization. (optional, default false)


var bbox = [-65, 40, -63, 42];
var dataset = turf.randomPoint(100, { bbox: bbox });
var result = turf.distanceWeight(dataset);

Returns Array<Array<number>> distance weight matrix.

This module is part of the Turfjs project, an open source module collection dedicated to geographic algorithms. It is maintained in the Turfjs/turf repository, where you can create PRs and issues.


Install this module individually:

$ npm install @turf/distance-weight

Or install the Turf module that includes it as a function:

$ npm install @turf/turf