@InProceedings{Almeida:2004:SiPrUr,
               author = "Almeida, Cl{\'a}udia Maria de",
          affiliation = "Instituto Nacional de Pesquisas Espaciais, Divis{\~a}o de 
                         Sensoriamento Remoto (INPE, DSR)",
                title = "Simulation and prediction of urban land use change as a tool for 
                         better planning",
            booktitle = "Proceedings...",
                 year = "2004",
         organization = "International Symposium on Urbanization Worldwide: Trends and 
                         Challenges in the 21st Century.",
             keywords = "PLANEJAMENTO URBANO, gest{\~a}o ambiental, uso da terra, urban 
                         modelling, cellular automata, town planning, land use change, 
                         Bayes theorem.",
             abstract = "This scientific paper 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-size 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 and social infrastructure of 
                         the town. The probabilities therefrom obtained fed a cellular 
                         automaton (CA) simulation model - DINAMICA- conceived by the 
                         Centre for Remote Sensing of the Federal University of Minas 
                         Gerais (CSR-UFMG), based on a multiscale vicinity approach and 
                         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 infrastructure 
                         knowledge to simulate urban land use change, what implies their 
                         possible further applicability for generating forecasts of growth 
                         trends both for Brazilian and worldwide.",
  conference-location = "Stuttgart",
      conference-year = "2004",
           copyholder = "SID/SCD",
             language = "en",
           targetfile = "mso167.pdf",
        urlaccessdate = "03 maio 2024"
}