A cluster computing framework for processing large-scale geospatial data
-
Updated
Mar 1, 2025 - Java
A cluster computing framework for processing large-scale geospatial data
DLMAPS = Description Logic Maps: Ontology-Based Spatial Queries to Digital City Maps
A Visual Spatial Query Language written in Common Lisp & CLIM for its GUI
Implementation of KD-tree and QuadTree data structures in Python. It includes tools for building, querying, and visualizing these trees. The project is designed to help understand and utilize these data structures effectively. It has been written as a project for the Computational Geometry Course at AGH University of Krakow 2024/25.
This repository has queries for working with geospatial data using PostGIS.
Add a description, image, and links to the spatial-query topic page so that developers can more easily learn about it.
To associate your repository with the spatial-query topic, visit your repo's landing page and select "manage topics."