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contributor authorMajid pooyandehen
contributor authormohammad saadi mesgarien
contributor authorabbas alimohammadien
contributor authorروزبه شادen
contributor authorRouzbeh Shadfa
date accessioned2020-06-06T13:06:29Z
date available2020-06-06T13:06:29Z
date issued2007
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3341923?show=full
description abstractSpatio-temporal modeling for urban applications has received special attention lately. Due to the recent advances in computer and geospatial technologies, the temporal aspect of urban applications which was ignored in conventional systems, is under consideration nowadays. This new interest in spatio-temporal modeling, in spite of all its deficiencies, has brought about great advances in spatio-temporal modeling and will enhance the urban systems dramatically. This paper investigates two different viewpoints in spatio-temporal modeling for urban applications. The first category involves CA based modeling, agent based modeling, Artificial Neural Networks modeling and fractal based modeling. These models which have been widely used in simulating complex urban systems are here distinguished as complexity models. The applications of these approaches in modeling complex urban systems are comprehensively reviewed and advantages and weak points of each model are depicted. On the other hand, temporal GIS models as another approach for spatio-temporal modeling are briefly reviewed. Eventually the conceptual differences between these two categories are mentioned to aid modelers to mindfully select the appropriate models for urban applications.en
languageEnglish
titleA Comparison Between Complexity and Temporal GIS Models for Spatio-temporal Urban Applicationsen
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsspatio-temporal modeling - complexity models - Temporal GIS models - urban applicationsen
journal titleLecture Notes in Computer Sciencefa
pages308-321
journal volume4706
journal issue2
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1025734.html
identifier articleid1025734


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