@Article{AlmeidaMoCāSoCePeBa:2005: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, Custavo Coutinho and Pennachin, Cassio Lopes and Batty,
Michael",
affiliation = "Instituto Nacional de Pesquisas Espaciais, Divis{\~a}o de
Sensoriamento Remoto (INPE, DSR) and {Divis{\~a}o de
Processamento de Imagens} and {Divis{\~a}o de Processamento de
Imagens} and UFMG and UFMG and Intelligenesis Brasil Ltda, Belo
Horizonte and UCL",
title = "GIS and remote sensing as tools for the simulation of urban
land-use change",
journal = "International Journal of Remote Sensing",
year = "2005",
volume = "26",
number = "4",
pages = "759--774",
month = "Feb.",
keywords = "Algorithms, Computer simulation, Economic and social effects,
Forecasting, Geographic information systems, Image analysis,
Mathematical models, Probability, Random processes, Remote
sensing, Urban planning, Bayesian probabilistic methods, Remote
sensing imagery, Urban land-use change, Urban structure, Land use,
GIS, infrastructural development, land use change, remote sensing,
socioeconomic status, urban area, Bauru, Brazil, Sao Paulo
[Brazil], South America, Western Hemisphere, World.",
abstract = "This paper is concerned with building up methodological guidelines
for modelling urban land-use change through Geographical
Information Sytems. remote sensing imagery and Bayesian
probabilistic methods. A medium-sized town in the west of Sao
Paulo State. Bauru. was adopted as a case studs. Its urban
structure was converted into a 100m / 100m resolution grid and
transition probabilities were calculated for each grid cell by
means of the weights of evidence' statistical method and upon the
basis of the information related to the technical infrastructure
and socio-economic aspects of the town. The probabilities obtained
from there fed a cellular automaton 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. It indicates their possible further applicability
for generating forecasts of growth trends Brazilian cities and
cities.",
copyholder = "SID/SCD",
doi = "10.1080/01431160512331316865",
url = "http://dx.doi.org/10.1080/01431160512331316865",
issn = "0143-1161",
language = "en",
targetfile = "IJRS.pdf",
urlaccessdate = "2024, May 05"
}