Article: Errors and uncertainties in urban cellular automata

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TitleErrors and uncertainties in urban cellular automata
AuthorsYeh, AGO1
Li, X2
KeywordsCellular automata
GIS
Uncertainty
Urban simulation
Issue Date2006
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ceus
CitationComputers, Environment And Urban Systems, 2006, v. 30 n. 1, p. 10-28 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.compenvurbsys.2004.05.007
AbstractErrors and uncertainties are important issues in most geographical analyses and modelling processes. Cellular automata (CA) have been increasingly used for modelling geographical phenomena, such as the evolution of urban systems. Urban simulation frequently involves the inputs of a large set of spatial variables from GIS. The errors of data source in GIS can propagate through CA modelling processes. Moreover, CA models themselves also have modeling uncertainties because they are just an approximation to reality. These uncertainties have impacts on the outcome of urban simulation. Identification and evaluation of these errors and uncertainties are crucial for understanding and implementing the simulation results of urban CA modelling. It is found that some of the characteristics of errors and uncertainties in urban CA are quite unique which are not present in traditional GIS models. The study can help urban modelers and planners to understand more clearly the characteristics and implications of CA modelling. © 2004 Elsevier Ltd. All rights reserved.
ISSN0198-9715
2011 Impact Factor: 1.795
2011 SCImago Journal Rankings: 0.081
DOIhttp://dx.doi.org/10.1016/j.compenvurbsys.2004.05.007
ISI Accession Number IDWOS:000242524900002
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorYeh, AGO
dc.contributor.authorLi, X
dc.date.accessioned2010-09-06T10:02:44Z
dc.date.available2010-09-06T10:02:44Z
dc.date.issued2006
dc.description.abstractErrors and uncertainties are important issues in most geographical analyses and modelling processes. Cellular automata (CA) have been increasingly used for modelling geographical phenomena, such as the evolution of urban systems. Urban simulation frequently involves the inputs of a large set of spatial variables from GIS. The errors of data source in GIS can propagate through CA modelling processes. Moreover, CA models themselves also have modeling uncertainties because they are just an approximation to reality. These uncertainties have impacts on the outcome of urban simulation. Identification and evaluation of these errors and uncertainties are crucial for understanding and implementing the simulation results of urban CA modelling. It is found that some of the characteristics of errors and uncertainties in urban CA are quite unique which are not present in traditional GIS models. The study can help urban modelers and planners to understand more clearly the characteristics and implications of CA modelling. © 2004 Elsevier Ltd. All rights reserved.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationComputers, Environment And Urban Systems, 2006, v. 30 n. 1, p. 10-28 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.compenvurbsys.2004.05.007
dc.identifier.doihttp://dx.doi.org/10.1016/j.compenvurbsys.2004.05.007
dc.identifier.epage28
dc.identifier.hkuros117648
dc.identifier.isiWOS:000242524900002
dc.identifier.issn0198-9715
2011 Impact Factor: 1.795
2011 SCImago Journal Rankings: 0.081
dc.identifier.issue1
dc.identifier.openurl
dc.identifier.scopuseid_2-s2.0-30844457492
dc.identifier.spage10
dc.identifier.urihttp://hdl.handle.net/10722/89864
dc.identifier.volume30
dc.languageeng
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ceus
dc.publisher.placeUnited Kingdom
dc.relation.ispartofComputers, Environment and Urban Systems
dc.relation.referencesReferences in Scopus
dc.subjectCellular automata
dc.subjectGIS
dc.subjectUncertainty
dc.subjectUrban simulation
dc.titleErrors and uncertainties in urban cellular automata
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. Sun Yat-Sen University