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A Survey of Modelling Trends in Temporal GIS

Article dans une revue avec comité de lecture
Author
SIABATO, Willington
302798 Universidad Politécnica de Madrid [UPM]
ccCLARAMUNT, Christophe
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
ILARRI, Sergio
MANSO-CALLEJO, Miguel Angel
36374 Universite Polytechnica de Madrid

URI
http://hdl.handle.net/10985/13806
DOI
10.1145/3141772
Date
2018
Journal
ACM Computing Surveys

Abstract

The main achievements of spatio-temporal modelling in the field of Geographic Information Science that spans over the past three decades are surveyed. This article offers an overview of: (i) the origins and history of Temporal Geographic Information Systems (T-GIS); (ii) relevant spatio-temporal data models proposed; (iii) the evolution of spatio-temporal modelling trends; and (iv) an analysis of the future trends and developments in T-GIS. It also presents some current theories and concepts that have emerged from the research performed, as well as a summary of the current progress and the upcoming challenges and potential research directions for T-GIS. One relevant result of this survey is the proposed taxonomy of spatio-temporal modelling trends, which classifies 186 modelling proposals surveyed from more than 1450 articles

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