Security News
cURL Project and Go Security Teams Reject CVSS as Broken
cURL and Go security teams are publicly rejecting CVSS as flawed for assessing vulnerabilities and are calling for more accurate, context-aware approaches.
@turf/difference
Advanced tools
@turf/difference is a module in the Turf.js library that allows you to compute the geometric difference between two polygons. This is useful in geospatial analysis for determining the area that is unique to one polygon when compared to another.
Compute Difference Between Two Polygons
This feature allows you to compute the difference between two polygons. The resulting polygon represents the area that is unique to the first polygon when compared to the second polygon.
const turf = require('@turf/turf');
const polygon1 = turf.polygon([[
[-82.574787, 35.594087],
[-82.574787, 35.615581],
[-82.545261, 35.615581],
[-82.545261, 35.594087],
[-82.574787, 35.594087]
]]);
const polygon2 = turf.polygon([[
[-82.560024, 35.585153],
[-82.560024, 35.602602],
[-82.52964, 35.602602],
[-82.52964, 35.585153],
[-82.560024, 35.585153]
]]);
const difference = turf.difference(polygon1, polygon2);
console.log(difference);
JSTS is a JavaScript library of spatial predicates and functions for processing geometry. It is a port of the Java Topology Suite (JTS). JSTS provides a more comprehensive set of geometric operations compared to @turf/difference, including union, intersection, and buffer operations.
Martinez Polygon Clipping is a library for performing boolean operations on polygons, such as union, intersection, and difference. It is known for its performance and accuracy, making it a good alternative to @turf/difference for complex polygon operations.
Finds the difference between two polygons by clipping the second polygon from the first.
Parameters
poly1
Feature<Polygon> input Polygon feaurepoly2
Feature<Polygon> Polygon feature to difference from poly1
Examples
var poly1 = {
"type": "Feature",
"properties": {
"fill": "#0f0"
},
"geometry": {
"type": "Polygon",
"coordinates": [[
[-46.738586, -23.596711],
[-46.738586, -23.458207],
[-46.560058, -23.458207],
[-46.560058, -23.596711],
[-46.738586, -23.596711]
]]
}
};
var poly2 = {
"type": "Feature",
"properties": {
"fill": "#00f"
},
"geometry": {
"type": "Polygon",
"coordinates": [[
[-46.650009, -23.631314],
[-46.650009, -23.5237],
[-46.509246, -23.5237],
[-46.509246, -23.631314],
[-46.650009, -23.631314]
]]
}
};
var differenced = turf.difference(poly1, poly2);
differenced.properties.fill = '#f00';
var polygons = {
"type": "FeatureCollection",
"features": [poly1, poly2]
};
//=polygons
//=differenced
Returns Feature<Polygon> a Polygon feature showing the area of poly1
excluding the area of poly2
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-difference
Or install the Turf module that includes it as a function:
$ npm install turf
FAQs
turf difference module
The npm package @turf/difference receives a total of 649,290 weekly downloads. As such, @turf/difference popularity was classified as popular.
We found that @turf/difference demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
cURL and Go security teams are publicly rejecting CVSS as flawed for assessing vulnerabilities and are calling for more accurate, context-aware approaches.
Security News
Bun 1.2 enhances its JavaScript runtime with 90% Node.js compatibility, built-in S3 and Postgres support, HTML Imports, and faster, cloud-first performance.
Security News
Biden's executive order pushes for AI-driven cybersecurity, software supply chain transparency, and stronger protections for federal and open source systems.