A cluster computing framework for processing large-scale geospatial data
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Updated
Mar 31, 2025 - Java
A cluster computing framework for processing large-scale geospatial data
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
This repository has queries for working with geospatial data using PostGIS.
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.
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