A cluster computing framework for processing large-scale geospatial data
-
Updated
Nov 15, 2024 - Java
A cluster computing framework for processing large-scale geospatial data
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Java map matching library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
OSM in memory
ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently
This repo holds the code, dataset, and running scripts for fast k-means evaluation
Mobile application with the purpose of retaking historical photographs.
Spark extension for normal spatio-temporal data
A feature-rich service for spatial accessibility
Spark GIS (Docker + Flask Webserver + SparkGIS)
Add a description, image, and links to the spatial-analysis topic page so that developers can more easily learn about it.
To associate your repository with the spatial-analysis topic, visit your repo's landing page and select "manage topics."