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Ali Mansourian

Ali Mansourian

Researcher

Ali Mansourian

Comparing Knowledge-Driven and Data-Driven Modeling methods for susceptibility mapping in spatial epidemiology : a case study in Visceral Leishmaniasis

Author

  • Mohammadreza Rajabi
  • Ali Mansourian
  • Petter Pilesjö
  • Finn Hedefalk
  • Roger Groth
  • Ahad Bazmani

Summary, in English

The aim of this study is to compare knowledge-driven and data-driven methods for susceptibility mapping in spatial epidemiology. Our comparison focuses on one of the arguably most important requisites in such models, namely predictability. We compare one data-driven modelling method called Radial Basis Functional Link Net (RBFLN - a well-established Neural Network method) with two knowledge-driven modelling methods, Fuzzy AHP_OWA and Fuzzy GIS-based group decision making (multi criteria decision making methods). These methods are compared in the context of a concrete case study, namely the environmental modelling of Visceral Leishmaniasis (VL) for predictive mapping of risky areas. Our results show that, at least in this particular application, RBFLN model offers the best predictive accuracy

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • Centre for Advanced Middle Eastern Studies (CMES)
  • Centre for Geographical Information Systems (GIS Centre)
  • MECW: The Middle East in the Contemporary World

Publishing year

2014

Language

English

Pages

1-5

Publication/Series

Proceedings of the AGILE'2014 International Conference on Geographic Information Science, Castellón, June, 3-6

Document type

Conference paper

Publisher

Association of Geographic Information Laboratories for Europe

Topic

  • Physical Geography

Keywords

  • Visceral Leishmaniasis (VL)
  • spatial epidemiology
  • prediction
  • knowledge-driven method
  • data-driven method.
  • Artificial Intelligence (AI)
  • Geospatial Artificial Intelligence (GeoAI)

Conference name

17th AGILE International Conference on Geographic Information Science, 2014

Conference date

2014-06-02 - 2014-06-06

Conference place

Castellon, Spain

Status

Published

Project

  • Geospatial modeling and simulation techniques to study prevalence and spread of diseases