| 1. Identificação | |
| Tipo de Referência | Artigo em Revista Científica (Journal Article) |
| Site | mtc-m12.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 6qtX3pFwXQZsFDuKxG/AKj3Q |
| Repositório | sid.inpe.br/marciana/2004/01.12.15.36 (acesso restrito) |
| Última Atualização | 2010:05.13.11.22.20 (UTC) administrator |
| Repositório de Metadados | sid.inpe.br/marciana/2004/01.12.15.36.25 |
| Última Atualização dos Metadados | 2018:06.05.00.40.43 (UTC) administrator |
| Chave Secundária | INPE-10302-PRE/5804 |
| ISSN | 1467-1298 |
| Chave de Citação | AlmeidaBaCâMoSoPeCe:2002:EmStCe |
| Título | Empiricism and Stochastics in Cellular Automaton Modeling of Urban Land Use Dynamics  |
| Ano | 2002 |
| Mês | 2002-02 |
| Data de Acesso | 03 maio 2024 |
| Tipo Secundário | PRE PI |
| Número de Arquivos | 2 |
| Tamanho | 1010 KiB |
| 2. Contextualização | |
| Autor | 1 Almeida, Maria Cláudia de 2 Batty, Michael 3 Câmara, Gilberto 4 Monteiro, Antônio Miguel Vieira 5 Soares Filho, Britaldo Silveira 6 Pennachin, Cássio Lope 7 Cerqueira, Gustavo Coutinho |
| Grupo | 1 DSR-INPE-MCT-BR 2 DPI-INPE-MCT-BR 3 DPI-INPE-MCT-BR 4 DPI-INPE-MCT-BR |
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais. Devisão de Sensoriamento remoto (INPE, DSR) 2 Instituto Nacional de Pesquisas Espaciais. Devisão de Processamento de Imagens (INPE, DPI) 3 Department of Cartography, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais 4 Intelligenesis do Brasil Ltda, Belo Horizonte, Minas Gerais 5 Centre for Advanced Spatial Analysis, University College London, UK |
| Endereço de e-Mail | almeida@dsr.inpe.br |
| Revista | CASA Working Paper Series |
| Volume | 42 |
| Páginas | 42 |
| Histórico (UTC) | 2006-07-26 14:25:22 :: marciana -> administrator :: 2008-06-09 19:21:35 :: administrator -> marciana :: 2010-05-13 11:22:28 :: marciana -> administrator :: 2002 2018-06-05 00:40:43 :: administrator -> marciana :: 2002 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Tipo do Conteúdo | External Contribution |
| Palavras-Chave | land use change transition probabilities Bayes theorem weights of evidence cellular automata urban growth urban planning |
| Resumo | An 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. |
| Área | SRE |
| Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Empiricism and Stochastics... |
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Empiricism and Stochastics... |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| Idioma | en |
| Arquivo Alvo | CASA_Online.pdf |
| Grupo de Usuários | administrator marciana |
| Visibilidade | shown |
| Detentor da Cópia | SID/SCD |
| Política de Arquivamento | denypublisher denyfinaldraft |
| Permissão de Leitura | deny from all and allow from 150.163 |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
| Acervo Hospedeiro | sid.inpe.br/banon/2001/04.06.10.52 |
| 6. Notas | |
| Notas | Online: http://www.casa.ucl.ac.uk/working_papers/Paper42.pdf |
| Campos Vazios | alternatejournal archivist callnumber copyright creatorhistory descriptionlevel dissemination doi electronicmailaddress format isbn label lineage mark mirrorrepository nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype |
| 7. Controle da descrição | |
| e-Mail (login) | marciana |
| atualizar | |