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1

Apache Sedona

Cluster computing framework for processing large-scale geospatial data

...According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.

Downloads: 0 This Week

Last Update: 2026-04-21
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2

GEOMS2

Geostatistics and geosciences modeling software

...attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download

Downloads: 13 This Week

Last Update: 2019-07-30
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3

SPAWNN

SPatial Analysis With self-organizing Neural Networks

The SPAWNN toolkit is an innovative toolkit for spatial analysis with self-organizing neural networks which is particularily useful for spatial analysis, visualization and geographical data mining. To run the toolkit, simply download and execute (double-click) the jar-file. Please cite: - Hagenauer, J., & Helbich, M. (2016). SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks.

Downloads: 0 This Week

Last Update: 2017-07-12
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4

The c2001 spatio-temporal mining library

An open source spatio-temporal data mining library

Current functions: 1. The General Association Rule Mining Framework(GARMF) library, which support mining association rules from transactions(boolean, weighted, fuzzy), spatial datasets (vector and raster) and spatio-temporal datasets (raster snapshots). Besides it support incremental mining. 2. Rule Filtering Library (RFL), a library for rule evaluation. 3. Besides, DAP-Shell, a GUI shell for GARMF and RFL, will be provided.

Downloads: 0 This Week

Last Update: 2016-02-02
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