Nico Van de Weghe

Nico Van de Weghe

Nico Van de Weghe

Prof. dr. Nico Van de Weghe is a full professor of GIScience, a scientific discipline at the intersection of computer science, social science, and natural science. GIScience involves the study of geospatial information and how people understand the world. It also addresses how phenomena of the world can be stored, represented, and analyzed. It lies at the basis of GeoAI, which is the goal of enabling machines to learn to reason and analyse spatially like a human. Since his PhD research in 2004, Van de Weghe has had a broad interest in knowledge-based AI, specifically spatiotemporal reasoning and analysis.

As in all areas related to AI, data-driven approaches are becoming increasingly dominant in GeoAI. Therefore, Van de Weghe is currently focusing on research in both knowledge-based and data-driven GeoAI. He is exploring the possibilities of combining both into hybrid GeoAI. Van de Weghe’s emphasis since his early research days has been on spatiotemporal applications in general and the analysis of moving objects more specifically. He has applied his research in a variety of domains, including animal behavior, criminology, crowd analysis, healthcare, mobility research, navigation, and sports analysis.

Keywords: GeoAI, GIScience, Spatiotemporal analysis, Moving objects, Data mining

Key publications
  • “Representing moving objects in computer-based expert systems: the overtake event example”, N. Van de Weghe, A.G. Cohn, P. De Maeyer & F. Witlox (2005) EXPERT SYSTEMS WITH APPLICATIONS. 29(4). p.977-983

  • “A qualitative trajectory calculus as a basis for representing moving objects in Geographical Information Systems” N. Van de Weghe, A.G. Cohn, G. De Tré (UGent) & P. De Maeyer (2006) CONTROL AND CYBERNETICS. 35(1). p.97-119

  • “Inferring additional knowledge from QTC(N) relations”, M. Delafontaine, P. Bogaert, A.G Cohn, F. Witlox, P. De Maeyer (UGent) & N. Van de Weghe (2011) INFORMATION SCIENCES. 181(9). p.1573-1590

  • “Implementing a qualitative calculus to analyse moving point objects”, M. Delafontaine, A.G Cohn & N. Van de Weghe (2011) EXPERT SYSTEMS WITH APPLICATIONS. 38(5). p.5187-5196

  • “The continuous spatio-temporal model (CSTM) as an exhaustive framework for multi-scale spatio-temporal analysis”, N. Van de Weghe, B. De Roo, Y. Qiang, M. Versichele, T. Neutens & P. De Maeyer (2014) INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE. 28(5). p.1047-1060

  • “Qualitative team formation analysis in football : a case study of the 2018 FIFA World Cup”, J. Beernaerts, B. De Baets, M. Lenoir & N. Van de Weghe (2022) FRONTIERS IN PSYCHOLOGY. 13.

Publication links