Urban development and migration from rural to urban areas are
impacting prime agricultural land and natural landscapes,
particularly in the less developed countries. These phenomena will
persist and require serious study by those monitoring global
environmental change. To address this need, various models have
been devised to analyze urbanization and the physical,
socioeconomic, and institutional factors impacting urban
development. The most promising and rapidly developing of these
paradigms take advantage of new Geographical Information System
(GIS) technology. Modelling Urban Development with Geographical
Information Systems and Cellular Automata presents one such
cutting-edge model that is more than just predictive. It describes
how the model simulates the urbanization process, and it provides
theoretical context to promote understanding. Starting with a
practical overview of the modelling techniques used in urban
development research, the author focuses on the cellular automata
model and its greatest strength - the incorporation of fuzzy set
and fuzzy logic approaches through which urban development can be
viewed as a spatially and temporally continuous process. Real-Life
Application to Develop Future Planning Methods The text describes a
landmark study underway, in which the fuzzy constrained cellular
automata model has been implemented in a GIS environment to
simulate urban development in Sydney, Australia. Featuring a survey
of associated research and a geographical database for the Sydney
simulation, this book answers many general "what if" questions for
urban planners and details a new approach that they can adapt to
their own testing and evaluation needs. This modeling method will
provide researchers and planners with the means to not just predict
population trends, but to better prepare for their consequences.
General
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