@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 = "2024, May 05"
}