%0 Conference Proceedings
%4 ltid.inpe.br/sbsr/2002/11.11.09.41
%2 ltid.inpe.br/sbsr/2002/11.11.09.41.12
%@isbn 85-17-00017-X
%T Simulating urban land use change through CA-Based modeling and logistic regression
%D 2003
%A Almeida, Cláudia Maria de,
%A Monteiro, Antônio Miguel Vieira,
%A Câmara, Gilberto,
%A Soares Filho, Britaldo Silveira,
%A Cerqueira, Gustavo Coutinho,
%A Araújo, William Leite,
%A Pantuzzo, Alexandre Eduardo,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Universidade Federal de Minas Gerais. Centro de Sensoriamento Remoto.
%@affiliation Universidade Federal de Minas Gerais. Centro de Sensoriamento Remoto.
%@affiliation Universidade Federal de Minas Gerais. Centro de Sensoriamento Remoto.
%@affiliation Consult Brasil. Tecnologia e Negócios.
%@electronicmailaddress almeida@ltid.inpe.br
%@electronicmailaddress miguel@dpi.inpe.br
%@electronicmailaddress gilberto@dpi.inpe.br
%E Epiphanio, José Carlos Neves,
%E Fonseca, Leila Maria Garcia,
%B Simpósio Brasileiro de Sensoriamento Remoto, 11 (SBSR).
%C Belo Horizonte
%8 5-10 abr. 2003
%I INPE
%J São José dos Campos
%P 1687 - 1694
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais
%K urban modeling, land use dynamics, logistic regression, cellular automata, town planning.
%X Simulating urban land use change through stochastic methods invariably demands the assessment of spatial land use transition probabilities. This has been accomplished to date mostly by empirical calculations and statistical linear methods. In the present work, we introduce a framework for simulating urban land use dynamics based on the estimation of land use transition probabilities through logistic regression. These probabilities drive a cellular automaton (CA) simulation model, based on eight cell Moore neighborhoods and stochastic transition algorithms. A medium-sized town in the west of São Paulo State, Bauru, was adopted as case study. Different simulation outputs for the case study town in the period 1979-1988 were generated, and statistical validation tests were then conducted for the best results, employing a multiple resolution fitting procedure.
%9 Planejamento Urbano e Regional / Urban and Regional Planning
%@language English
%3 14_058.pdf