Department of Geography

Welcome to the CartoGIS website

In the CartoGIS research group, both fundamental and applied research on various aspects of cartography and geographical information science is conducted. Our research group focuses on five major research areas:

  • data quality (e.g. quantifying spatial errors; using data quality indicators as a support for recognition of object changes in the update process; objective quality definition of cartographical representations);
  • geographical information production, infrastructure, management and modelling (e.g. geographical information and cartography of World Heritage; fundamental and applied studies of map production and map production management);
  • risk analysis (e.g. information processing on flood risk; risk analysis and use of geographical information in managing disasters and disaster control);
  • analysis of moving objects (e.g. tracking of moving objects; modelling, representing, and reasoning about spatio-temporal information; cognition and linguistics of moving objects; time geography and accessibility analysis);
  • historical cartography (e.g. analysis of the production methods of maps, especially in the 16th and 18th century; worldview in the past and the visualisation of it on maps).


Recent publications

Van Holle, V., Van Cauwenberg, J., Van Dyck, D., Deforche, B., Van de Weghe, N., & De Bourdeaudhuij, I. (2014). Relationship between neighborhood walkability and older adults’ physical activity: results from the Belgian Environmental Physical Activity Study in Seniors (BEPAS Seniors). INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 11.
Mertens, Lieze, Van Holle, V., De Bourdeaudhuij, I., Deforche, B., Salmon, J., Nasar, J., Van de Weghe, N., et al. (2014). The effect of changing micro-scale physical environmental factors on an environment’s invitingness for transportation cycling in adults: an exploratory study using manipulated photographs. INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 11.
De Beule, Matthias, Van den Poel, D., & Van de Weghe, N. (2014). An extended Huff-model for robustly benchmarking and predicting retail network performance. APPLIED GEOGRAPHY, 46, 80–89.
More publications »