Environmental Engineering Reference
In-Depth Information
vi
URBAN GROWTH AND
LANDSCAPE CHANGE
MODELING
Developing dynamic modeling techniques to simulate and predict future urban growth and landscape changes has been an active
research area in urban remote sensing. The role of remote sensing is indispensible in the entire model development process frommodel
conceptualization to implementation. Part VI (Ch. 22-26) examines some most exciting developments in this aspect. Chapter 22
discusses the evolution from pixel-matrix structures towards cell and agent-based models, the challenge of integrating spatial and
a-spatial data structures and models, and a new data structure and modeling approach. Chapter 23 reviews the developments in
calibration and validation of urban cellular automata models emphasizing on models tasked with simulating human-environment
interactions. Chapter 24 introduces the agent-based urban modeling technique, followed by a case study to demonstrate the utilities
of this type of modeling technique for urban growth and landscape change simulation. Chapter 25 discusses the utilities of ecological
modeling for predicting changes in biodiversity in response to future urban development. The last chapter (Ch. 26) included in Part VI
shifts the discussion from technical aspects to the underlying root metaphors embedded in various modeling efforts.
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