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    Flatbush

    Flatbush

    A very fast static spatial index for 2D points and rectangles in JS

    A really fast static spatial index for 2D points and rectangles in JavaScript. An efficient implementation of the packed Hilbert R-tree algorithm. Enables fast spatial queries on a very large number of objects (e.g. millions), which is very useful in maps, data visualizations and computational geometry algorithms.
    Downloads: 0 This Week
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    RBush

    RBush

    High-performance JavaScript R-tree-based 2D spatial index

    ...It's most commonly used in maps and data visualizations. The demos contain visualization of trees generated from 50k bulk-loaded random points. Open web console to see benchmarks; click on buttons to insert or remove items; click to perform search under the cursor. An optional argument to RBush defines the maximum number of entries in a tree node. 9 (used by default) is a reasonable choice for most applications. Higher value means faster insertion and slower search, and vice versa.
    Downloads: 0 This Week
    Last Update:
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