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1. Identity statement
Reference TypeJournal Article
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZGivnJRY/KTym4
Repositorysid.inpe.br/mtc-m12@80/2006/04.27.19.49   (restricted access)
Last Update2006:07.21.17.59.19 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m12@80/2006/04.27.19.49.08
Metadata Last Update2018:06.05.00.40.44 (UTC) administrator
Secondary KeyINPE--PRE/
ISSN0198-9715
Citation KeyAlmeidaBaMoCâSoCePe:2003:EmDeEs
TitleStochastic Cellular Automata Modelling of Urban Land Use Dynamics: Empirical Development and Estimation
Year2003
MonthSeptember
Access Date2024, Apr. 27
Secondary TypePRE PI
Number of Files1
Size611 KiB
2. Context
Author1 Almeida, Cláudia Maria
2 Batty, Michael
3 Monteiro, Antonio Miguel Vieira
4 Câmara, Gilberto
5 Soares Filho, Britaldo Silveira
6 Cerqueira, Gustavo Coutinho
7 Pennachin, Cássio Lopes
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JGJN
Group1 DSR-INPE-MCT-BR
2 CASA-INPE-MCT-BR
3 DPI-INPE-MCT-BR
4 DPI-INPE-MCT-BR
5 CSR-INPE-MCT-BR
6 CSR-INPE-MCT-BR
Affiliation1 Divisão de Sensoriamento Remoto
2 University College London
3 Divisão de Processamento de Imagens
4 Divisão de Processamento de Imagens
5 Universidade Federal de Minas Gerais
6 Universidade Federal de Minas Gerais
7 Inteligenisis
e-Mail Addressalmeida@dsr.inpe.br
JournalComputers, Environment and Urban Systems
Volume27
Number5
Pages481-509
History (UTC)2006-04-27 19:49:08 :: ariovaldo -> marciana ::
2006-07-21 13:08:44 :: marciana -> ariovaldo ::
2006-07-21 17:59:19 :: ariovaldo -> administrator ::
2018-06-05 00:40:44 :: administrator -> ariovaldo :: 2003
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsurban modelling
land use dynamics
cellular automata
geocomputation
town planning
AbstractAn increasing number of models for predicting land use change in regions of rapid urbanization are being proposed and built using ideas from cellular automata (CA) theory. Calibrating such models to real situations is highly problematic and to date, serious attention has not been focused on the estimation problem. In this paper, we propose a structure for simulating urban change based on estimating land use transitions using elementary probabilistic methods which draw their inspiration from Bayes' theory and the related weights of evidence approach. These land use change probabilities drive a CA model DINAMICA conceived at the Center for Remote Sensing of the Federal University of Minas Gerais (CSR-UFMG). This is based on a eight cell Moore neighborhood approach implemented through empirical land use allocation algorithms. The model framework has been applied to a medium-size town in the west of São Paulo State, Bauru. We show how various socio-economic and infrastructural factors can be combined using the weights of evidence approach which enables us to predict the probability of changes between land use types in different cells of the system. Different predictions for the town during the period 1979-1988 were generated, and statistical validation was then conducted using a multiple resolution fitting procedure. These modeling experiments support the essential logic of adopting Bayesian empirical methods which synthesize various information about spatial infrastructure as the driver of urban land use change. This indicates the relevance of the approach for generating forecasts of growth for Brazilian cities particularly and for world-wide cities in general.
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Stochastic Cellular Automata...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Stochastic Cellular Automata...
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4. Conditions of access and use
Languageen
Target Fileceus finalissimo.pdf
User Groupadministrator
ariovaldo
Visibilityshown
Archiving Policydenypublisher allowfinaldraft36
Read Permissiondeny from all and allow from 150.163
Update Permissiontransferred to ariovaldo
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
DisseminationWEBSCI; PORTALCAPES; COMPENDEX.
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
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