A Survey of Modelling Trends in Temporal GIS | Zendy

Willington Siabato | Zendy; Christophe Claramunt | Zendy; Sergio Ilarri | Zendy; Miguel Ángel Manso Callejo | Zendy

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A Survey of Modelling Trends in Temporal GIS

Author(s) -

Willington Siabato,

Christophe Claramunt,

Sergio Ilarri,

Miguel Ángel Manso Callejo

Publication year - 2018

Publication title -

acm computing surveys

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.079

H-Index - 163

eISSN - 1557-7341

pISSN - 0360-0300

DOI - 10.1145/3141772

Subject(s) - computer science , data science , geographic information system , field (mathematics) , gis applications , temporal database , taxonomy (biology) , data mining , cartography , geography , ecology , mathematics , biology , pure mathematics

The main achievements of spatio-temporal modelling in the field of Geographic Information Science that spans 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 1,450 articles.

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