• Overview

Ir. Manuel Claeys Bouuaert

+32 (0)9 264 46 89

Krijgslaan 281, S8, 9000 Ghent, Belgium

Manuel Claeys Bouuaert worked at the CartoGIS research group from late 2012 to early 2016. He has been part of an FWO project entitled 'Analysing and modelling pedestrian movements at mass events using Bluetooth', and later performed research on 'Predictive modeling of spatiotemporal phenomena in GISystems using Machine Learning' as an FWO-fellow. This research focussed on the potential of Machine Learning tools like Markov Random Fields. Additionally, Manuel has contributed to the ongoing research concerning the 18th century Ferraris maps of the Austrian Netherlands. He developed a novel method to analyse distortion in historic maps, based on a set of ground control points.

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Research Unit

Recent Projects

Recent Publications

  • Claeys Boùùaert, De Baets, Vervust, Neutens, De Maeyer, Van de Weghe (2016) — Computation and visualisation of the accuracy of old maps using differential distortion analysis. (In: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE)
  • Versichele, Neutens, Claeys Boùùaert, Van de Weghe (2014) — Time-geographic derivation of feasible co-presence opportunities from network-constrained episodic movement data. (In: TRANSACTIONS IN GIS)
  • Versichele, De Groote, Claeys Boùùaert, Neutens, Moerman, Van de Weghe (2014) — Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: a case study of Ghent, Belgium. (In: TOURISM MANAGEMENT)