survey

A Survey of Modelling Trends in Temporal GIS

Authors:

Willington Siabato,

Christophe Claramunt,

Miguel Angel Manso-CallejoAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 51, Issue 2

Article No.: 30, Pages 1 - 41

https://doi.org/10.1145/3141772

Published: 17 April 2018 Publication History

Abstract

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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cover image ACM Computing Surveys

ACM Computing Surveys Volume 51, Issue 2

March 2019

748 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3186333

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

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Published: 17 April 2018

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Published in CSUR Volume 51, Issue 2

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