@InProceedings{AlmeidaMoCāSoCeArPa:2003:SiUrLa,
               author = "Almeida, Cl{\'a}udia Maria de and Monteiro, Ant{\^o}nio Miguel 
                         Vieira and C{\^a}mara, Gilberto and Soares Filho, Britaldo 
                         Silveira and Cerqueira, Gustavo Coutinho and Ara{\'u}jo, William 
                         Leite and Pantuzzo, Alexandre Eduardo",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal de Minas 
                         Gerais. Centro de Sensoriamento Remoto.} and {Universidade Federal 
                         de Minas Gerais. Centro de Sensoriamento Remoto.} and 
                         {Universidade Federal de Minas Gerais. Centro de Sensoriamento 
                         Remoto.} and {Consult Brasil. Tecnologia e Neg{\'o}cios.}",
                title = "Simulating urban land use change through CA-Based modeling and 
                         logistic regression",
            booktitle = "Anais...",
                 year = "2003",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "1687 - 1694",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 11. (SBSR).",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "urban modeling, land use dynamics, logistic regression, cellular 
                         automata, town planning.",
             abstract = "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 S{\~a}o 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.",
  conference-location = "Belo Horizonte",
      conference-year = "5-10 abr. 2003",
           copyholder = "SID/SCD",
                 isbn = "85-17-00017-X",
             language = "English",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2002/11.11.09.41",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2002/11.11.09.41",
           targetfile = "14_058.pdf",
                 type = "Planejamento Urbano e Regional / Urban and Regional Planning",
        urlaccessdate = "2024, May 05"
}