@InProceedings{AlmeidaMoCāSoCePeBa:2002:GIReSe,
               author = "Almeida, Cl{\'a}udia Maria de and Monteiro, Antonio Miguel Vieira 
                         and C{\^a}mara, Gilberto and Soares-Filho, Britaldo Silveira and 
                         Cerqueira, Gustavo Coutinho and Pennachin, C{\'a}ssio Lopes and 
                         Batty, Michael",
          affiliation = "UFMG, Belo Horizonte. MG // Intelligenesis do Brasil, Belo 
                         Horizonte. MG // University College London, UK. and {} and {} and 
                         {} and {} and {} and {}",
                title = "GIS and remote sensing as tools for the simulation of urban land 
                         use change",
            booktitle = "Anales...",
                 year = "2002",
         organization = "International Symposium Remote Sensing of Urban Areas, 3.",
             keywords = "Urban modelling, land use change, Bayes theorem, weights of 
                         evidence, cellular automata, urban planning.",
             abstract = "This scientific paper, part of a PhD Thesis currently under 
                         execution at the Division for Image Processing of the Brazilian 
                         National Institute for Space Research (DPI - INPE), is committed 
                         with building up a methodological guideline for modelling urban 
                         land use change through GIS, remote sensing imagery and Bayesian 
                         probabilistic methods. A medium-sized town in the west of S{\~a}o 
                         Paulo State, Bauru, was adopted as case study. Its urban structure 
                         was converted into a 100 x 100 (m) resolution grid, and transition 
                         probabilities were calculated for each grid cell by means of the 
                         {"}weights of evidence{"} statistical method and upon basis of the 
                         information related to the technical infrastructure and 
                         socio-economic aspects of the town. The probabilities therefrom 
                         obtained fed a cellular automaton (CA) simulation model - 
                         DINAMICA- developed by the Centre for Remote Sensing of the 
                         Federal University of Minas Gerais (CSR-UFMG), based on stochastic 
                         transition algorithms. 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. This modelling 
                         experiment revealed the plausibility of adopting Bayesian 
                         empirical methods based on the available knowledge of technical 
                         infrastructure and socio-economic status to simulate urban land 
                         use change, what implies their possible further applicability for 
                         generating forecasts of growth trends both for Brazilian and 
                         worldwide cities.",
  conference-location = "Istambul",
      conference-year = "11-13 june 2002",
           copyholder = "SID/SCD",
             language = "en",
           targetfile = "IJRS_Almeida_RSURB3_BR2_B_W.pdf",
        urlaccessdate = "03 maio 2024"
}