Dr. André Skupin - San Diego State University

Dr. André Skupin

Dr. André Skupin
Storm Hall 305B
Department of Geography
San Diego State University
San Diego, CA 92182-4493
Phone: (619) 594-6946
Email: skupin@sdsu.edu
Web: Personal, CICS, Coronavirus, BigKnowledge®, Left of Boom
Google Scholar: scholar.google.com/citations?user=zrJzM-QAAAAJ
LinkedIn: www.linkedin.com/pub/andré-skupin/26/b8b/b68/
Twitter: @AndreSkupin


  • Professor, San Diego State University
  • Founder & Co-Director, Center for Information Convergence and Strategy (CICS), SDSU
  • Associate Director, Center for Data Analytics and Intelligence (CENDAI), Czech University of Life Sciences
  • Co-Founder & Co-CEO, BigKnowledge®

  • 1998-2005 - Asst. & Assoc. Professor - University of New Orleans
  • 1998 Ph.D. Geography - University at Buffalo
  • 1992 Dipl.-Ing. Cartography - TU Dresden, Germany
  • Industry experience with BigKnowledge (USA), Esri (USA), NCGIA (USA), GTZ/ISPA (Germany), SRS (Germany), GIMS (South Africa) & others


  • Visual Data Mining.
    Geographic Visualization.
    Information Visualization.
  • Natural Language Processing.
    Text Mining. Digital Humanities.
  • Geographic Data Engineering and Cyberinfrastructure. Spatio-Temporal Modeling.
  • Semantic Web. Knowledge Analytics.

CV (Feb 2023)


  • Geographic Information Systems - GEOG 484 (Fall 2023)
  • Data Visualization - GEOG 581 (Fall 2023)
  • Map Investigation - GEOG 380 (Spring 2024)
  • Knowledge Analytics - GEOG 780 (Spring 2024)

Recent Research

  • Data visualization of dynamics in crime, climate, land cover, fire recovery
  • Self-organizing map (SOM) software and workflow development
  • Human mobility in physical and abstract spaces
  • Machine learning for cardiovascular disease
  • Knowledge visualization for science and technology (S&T) studies
  • Scientometric studies of coronavirus research
  • Domain ontology development and visualization
  • Travels in attribute space aka 'Computing Déjà Vu'

Recent Publications

Nayak et al. (2021) Machine Learning for Holistic Visualization of STEMI Registry Data. Journal of Biomedical Informatics. (link)

Tominski et al. (2021) Toward flexible visual analytics augmented through smooth display transitions. Visual Informatics. (link)

Song et al. (2020) Big Data and Emergency Management: Concepts, Methodologies, and Applications. IEEE Transactions on Big Data. (link)

Fouad, G., Skupin, A., and Tague, C.L. (2018) Regional regression models of percentile flows for the contiguous United States: Expert versus data-driven independent variable selection. Journal of Hydrology: Regional Studies. (link)

Mutschke, P. et al. (2017) Knowledge Maps and Information Retrieval. Special Issue of International Journal on Digital Libraries.(link)

Ahearn, S.C. and Skupin, A. (2016) From Body of Knowledge to Base-Map: Managing Domain Knowledge through Collaboration and Computation. In: Advancing Geographic Information Science: The Past and Next Twenty Years. (link)

Fabrikant, S., Gabathuler, C., and Skupin, A. (2015) SOMViz: Web-based Self-Organizing Maps. Kartographische Nachrichten. (link)

Skupin, A. (2014) Making a Mark: A Computational and Visual Analysis of One Researcher's Intellectual Domain. International Journal of Geographical Information Science. (link)

Skupin, A. (2013) A visual exploration of mobile phone users, land cover, time, and space. Pervasive and Mobile Computing. (link)

Burns, R. and Skupin, A. (2013) Towards Qualitative Geovisual Analytics: A Case Study Involving Places, People, and Mediated Experience. Cartographica. (link)

Ahearn, S.C., Icke, I., Datta, R., DeMers, M.N., Plewe, B., and Skupin, A. (2013) Re-Engineering the GIS&T Body of Knowledge. International Journal of Geographical Information Science. (link)

Wang, N., Biggs, T., and Skupin, A. (2013) Visualizing Gridded Time Series Data with Self-Organizing Maps: An Application to Multi-Year Snow Dynamics in the Northern Hemisphere. Computers, Environment and Urban Systems.(link)

Skupin, A., Biberstine, J., and Börner, K. (2013) Visualizing the Topical Structure of the Medical Sciences: A Self-Organizing Map Approach. PLoS ONE. (link)

Note: documents in Portable Document Format (PDF) require Adobe Acrobat Reader 5.0 or higher to view (download Adobe Acrobat Reader).


  • Knowledge Reference System and Method.
    U.S. Patent No. 11,436,270. Issued: Sep 6, 2022.
  • Knowledge Space Analytics.
    Patent Appl. No. US 20220357177 A1. Published: Nov 10, 2022.
  • Methods and Systems for Base Map and Inference Mapping.
    Patent Appl. No. PCT/US2015/055035. Published: Apr 14, 2016

Snippet from a visualization of the domain of music (see link)
© André Skupin last updated: February 21, 2023