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The main features of juliageometry/libgeos.jl are: Spatial Indexing and Analysis, Julia Geospatial Libraries.
Open-source alternatives to juliageometry/libgeos.jl include: yeesian/turf.jl — This library is a port of Turf.js to the Julia programming language for geospatial analysis. juliageometry/voronoidelaunay.jl — Fast and robust Voronoi & Delaunay tessellation creation with Julia. juliageo/libspatialindex.jl — A library for spatially indexing kD bounding box data (based on libspatialindex). bmaslakov/kotlin-algorithm-club — This project is a comprehensive library of fundamental computer science algorithms and data structures implemented in… habrador/computational-geometry — This project provides a collection of algorithmic implementations for computational geometry, focusing on spatial… evetion/lazio.jl — Extends LasIO with Laszip integration.
Fast and robust Voronoi & Delaunay tessellation creation with Julia
This library is a port of Turf.js to the Julia programming language for geospatial analysis.
A library for spatially indexing kD bounding box data (based on libspatialindex)
This project is a comprehensive library of fundamental computer science algorithms and data structures implemented in Kotlin. It serves as a toolkit for software engineering proficiency, providing a collection of standard computational techniques designed to operate on any data type through the use of language-level generics. The library distinguishes itself by emphasizing educational clarity and type-safe implementation. It utilizes interface-based abstractions to decouple algorithmic logic from specific data structures, while employing recursive problem decomposition and immutable state pat