Type classes and trivial instances of metric spaces and spatial indices.

Redis is an in-memory data structure project implementing a distributed, in-memory key-value database with optional durability. Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, sorted sets, HyperLogLogs, bitmaps, streams, and spatial indexes.

This is a Hilbert-Packed-R-Tree implementation for rust

Utility for building Discrete Global Grid Systems (DGGS) from configuration JSON files.

几个空间索引测试(SQLite R*Tree模块、GEOS STRtree、GEOS Quadtree、以及用于对比的顺序遍历)

Rtree building and query processing

공간 인덱스 적용 테스트

AISdb Python package for smart AIS data storage and interaction.

Project of application for selling tickets for events.

KD-Tree implementation in Chicken Scheme

A dynamic index structure for spatial searching

An Approximate Deep Spatial Catalog and Search

[Mirrored from GitLab] KDB-Tree data structure implementation in C++

R-Tree for JavaScript

QuadTree implementation in Python 3

2D Hilbert curve coordinate encoder/decoder

Python wrapper for Boost Geometry Rtree

[Mirrored from Gitlab] Quad-Tree data structure implementation in c++

Tiny, portable R-trees in Go