High-performance polyline simplification library
It uses a combination of Douglas-Peucker and Radial Distance algorithms. Works both on browser and server platforms.
Polyline simplification dramatically reduces the number of points in a polyline while retaining its shape, giving a huge performance boost when processing it and also reducing visual noise. For example, it's essential when rendering a 70k-points line chart or a map route in the browser using MapKit.
SwiftSimplify is available through CocoaPods. To install it, simply add the following line to your Podfile:
Usage is pretty straightforward: in fact you need just call the SwiftSimplify's class method simplify by passing your configuration:
let allPoints: [Point2DRepresentable] = ... let simplifiedPoints = SwiftSimplify.simplify(allPoints, tolerance: tolerance)
Allowed parameters are:
points: An array of points. SwiftSimplify supports Swift's generic so you can pass an array of objects which are conforms to
CLLocationCoordinate2Dobjects supports it).
tolerance: (1 by default) Affects the amount of simplification (in the same metric as the point coordinates)
highQuality: (false by default) Excludes distance-based preprocessing step which leads to highest quality simplification but runs ~10-20 times slower.
Hi fellow developer!
You know, maintaing and developing tools consumes resources and time. While I enjoy making them your support is foundamental to allow me continue its development.
If you are using SwiftSimplify or any other of my creations please consider the following options:
SwiftSimplify is compatible with Swift 5.x+ under iOS (11+) and macOS platforms.
You can install it via CocoaPods:
use_frameworks! pod 'SwiftSimplify'
or SPM in your
import PackageDescription let package = Package(name: "YourPackage", dependencies: [ .Package(url: "https://github.com/malcommac/SwiftSimplify.git", majorVersion: 0), ] )
Consider ❤️ support the development of this library!
This software is licensed under MIT License.
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