Bettina Knorr
Im Neuenheimer Feld 368
Room 108, 1. OG
69120 Heidelberg
Tel: +49 (0) 6221 54-5560
Fax: +49 (0) 6221 54-4529
Heidelberg Institute for Geoinformation Technology
Berliner Str. 45 (Mathematikon)
D-69120 Heidelberg
Funded by
KTS - Klaus Tschira Stiftung gemeinnützige GmbH

Machine Learning in Big Spatial Data

The project was running until June 2019 and was continued as HeiGIT gGmbH. Recent information can be found on the HeiGIT website

Analyses and Utilization of Volunteered Geographic Information from the Crowd with Spatial Analytics and Geocomputation

Vast amounts of unstructured and spatially attributed data are continuously generated and available on the web. Prominent examples include Volunteered Geographic Information like OpenStreetMap or from Social Media. With our background in GIScience we are able to extract precious knowledge from such datasets, e.g. by finding latent patterns and regularities to help you optimise your business processes. We develop quality measures as well as algorithms and methods for improving and enriching such spatial data sources for your specific needs using intelligent methods like data mining and machine learning.


  • Applied research in Spatial Analyses, Spatial Simulation & Modeling, Spatial Data Mining and Machine Learning
  • Development and maintenance of services for Analyses and Visualisation of Big Spatial Data from the Crowd
  • Business-oriented solutions for Geocomputation & Geoprocessing, Data Integration & Fusion and Sensor Analyses for heterogeneous spatial data sources

Selected References GIScience Heidelberg

Further Projects - Publications - PhD Thesis

Further Information

Editor: Webmaster Team
Latest Revision: 2022-01-28
zum Seitenanfang/up