spatial-queries

OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.

bring sf to spark in production

A Visual Spatial Query Language written in Common Lisp & CLIM for its GUI

DLMAPS = Description Logic Maps: Ontology-Based Spatial Queries to Digital City Maps

A focused Kotlin/Spring Boot module demonstrating spatial query patterns extracted from a production maritime platform

CSD-RkNN: Conic Section Discriminances for Large Scale Reverse k Nearest Neighbors Queries

From Planimetry to Graph - A First Step Towards the Implementation of an Efficient AED Program

A framework for the efficient representation and analysis of triangulated terrains

Core API for CityFixes built with Java 21 and Spring Boot 3.5.9. Implementing Hexagonal Architecture (Ports & Adapters), DDD principles, and Spatial Queries (PostgreSQL) to manage urban infrastructure issues via a secure, stateless JWT-based system.

Geometric Network Simulator

spatial data selection queries and nearest neighbor search for Beijing restaurants

Hotspot analysis on Big Data of a major taxi company using Apache Spark and Scala

R+-Tree with augmentations to support Textual-Spatial-Queries

world-wide spatial search for airports, ports, train stations

Spatial database project developed with PostgreSQL and PostGIS for the management, integration, and querying of different geographical datasets.

Generate GeoAlchemy2 and SQLAlchemy 2.0 declarative models from a live PostGIS database, complete with geometry types, SRIDs, spatial indexes, enums and foreign-key relationships — plus typed spatial query helpers for ST_DWithin, KNN and bounding-box searches. Works from a live DSN or a shareable JSON schema description.

In-depth guides to building production geospatial REST APIs with FastAPI & PostGIS — architecture, serialization, caching, security, and deployment. Source for www.geospatial-api.com.

Production-grade PostGIS + Python documentation: spatial queries, GiST indexing, SQLAlchemy/GeoAlchemy2 integration, schema migrations, and performance tuning — runnable SQL + Python, no pseudocode.