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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
2012 Impact Factor: 1.674
2012 SCImago Journal Rankings: 0.895
 
DOIhttp://dx.doi.org/10.1016/j.compenvurbsys.2004.05.007
 
ISI Accession Number IDWOS:000242524900002
 
ReferencesReferences in Scopus
 
DC FieldValue
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
2012 Impact Factor: 1.674
2012 SCImago Journal Rankings: 0.895
 
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
 
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Author Affiliations
  1. The University of Hong Kong
  2. Sun Yat-Sen University