Security News
PyPI Introduces Digital Attestations to Strengthen Python Package Security
PyPI now supports digital attestations, enhancing security and trust by allowing package maintainers to verify the authenticity of Python packages.
@turf/random
Advanced tools
@turf/random is a module within the Turf.js library that provides functions to generate random geometries such as points, polygons, and lines. It is useful for creating test data, simulations, and other applications where random spatial data is needed.
Random Points
Generates a specified number of random points. In this example, it generates 5 random points.
const turf = require('@turf/random');
const points = turf.randomPoint(5);
console.log(points);
Random Polygons
Generates a specified number of random polygons. In this example, it generates 3 random polygons.
const turf = require('@turf/random');
const polygons = turf.randomPolygon(3);
console.log(polygons);
Random Lines
Generates a specified number of random line strings. In this example, it generates 2 random line strings.
const turf = require('@turf/random');
const lines = turf.randomLineString(2);
console.log(lines);
Faker is a library for generating fake data, including names, addresses, and other types of data. While it is not specifically focused on spatial data, it can be used to generate random data for various applications. Compared to @turf/random, Faker is more general-purpose and not specialized in geospatial data.
Chance is a random generator helper for JavaScript. It can generate random numbers, strings, and other types of data. Like Faker, it is not specialized in geospatial data but can be used for a wide range of random data generation needs. Compared to @turf/random, Chance is more versatile but less focused on spatial data.
GeoJSON-Random is a library specifically designed to generate random GeoJSON data, including points, polygons, and lines. It is very similar to @turf/random in terms of functionality but is a standalone package rather than part of a larger geospatial library like Turf.js.
Generates random GeoJSON data, including Points and Polygons, for testing and experimentation.
Parameters
type
[string] type of features desired: 'points' or 'polygons' (optional, default 'point'
)count
[number] how many geometries should be generated. (optional, default 1
)options
Object options relevant to the feature desired. Can include:
options.bbox
Array<number> a bounding box inside of which geometries
are placed. In the case of Point features, they are guaranteed to be within this bounds,
while Polygon features have their centroid within the bounds.options.num_vertices
[number] options.vertices the number of vertices added
to polygon features. (optional, default 10
)options.max_radial_length
[Number] the total number of decimal
degrees longitude or latitude that a polygon can extent outwards to
from its center. (optional, default 10
)Examples
var points = turf.random('points', 100, {
bbox: [-70, 40, -60, 60]
});
//=points
var polygons = turf.random('polygons', 4, {
bbox: [-70, 40, -60, 60]
});
//=polygons
Returns FeatureCollection generated random features
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/random
Or install the Turf module that includes it as a function:
$ npm install @turf/turf
FAQs
turf random module
We found that @turf/random demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 9 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
PyPI now supports digital attestations, enhancing security and trust by allowing package maintainers to verify the authenticity of Python packages.
Security News
GitHub removed 27 malicious pull requests attempting to inject harmful code across multiple open source repositories, in another round of low-effort attacks.
Security News
RubyGems.org has added a new "maintainer" role that allows for publishing new versions of gems. This new permission type is aimed at improving security for gem owners and the service overall.