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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZGivnJRY/KTym4
Repositóriosid.inpe.br/mtc-m12@80/2006/04.27.19.49   (acesso restrito)
Última Atualização2006:07.21.17.59.19 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m12@80/2006/04.27.19.49.08
Última Atualização dos Metadados2018:06.05.00.40.44 (UTC) administrator
Chave SecundáriaINPE--PRE/
ISSN0198-9715
Chave de CitaçãoAlmeidaBaMoCâSoCePe:2003:EmDeEs
TítuloStochastic Cellular Automata Modelling of Urban Land Use Dynamics: Empirical Development and Estimation
Ano2003
MêsSeptember
Data de Acesso31 out. 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho611 KiB
2. Contextualização
Autor1 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
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JGJN
Grupo1 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
Afiliação1 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
Endereço de e-Mailalmeida@dsr.inpe.br
RevistaComputers, Environment and Urban Systems
Volume27
Número5
Páginas481-509
Histórico (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. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveurban modelling
land use dynamics
cellular automata
geocomputation
town planning
ResumoAn 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.
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Stochastic Cellular Automata...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Stochastic Cellular Automata...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvoceus finalissimo.pdf
Grupo de Usuáriosadministrator
ariovaldo
Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft36
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãotransferida para ariovaldo
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX.
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosalternatejournal archivist area callnumber copyholder copyright creatorhistory descriptionlevel doi electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
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