A Survey of Modelling Trends in Temporal GIS

Willington Siabato (1) , Christophe Claramunt (2) , Sergio Ilarri (3)

1 UPM - Universidad Politécnica de Madrid
2 IRENAV - Institut de Recherche de l'Ecole Navale
3 University of Zaragoza - Universidad de Zaragoza [Zaragoza]

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

Mots clés: Time; GIS; Spatio-temporal models; Survey; Literature review; Temporal GIS; Time geography; Spatio-temporal databases; Temporal models

Domaines: Informatique [cs]

Willington Siabato, Christophe Claramunt, Sergio Ilarri. A Survey of Modelling Trends in Temporal GIS. ACM Computing Surveys, 2018, 51 (2), pp.30:1-30:41. ⟨hal-01900660⟩