Spatial Evolutionary Modeling

Spatial Evolutionary Modeling
Author: Roman M. Krzanowski
Publisher: Oxford University Press
Total Pages: 265
Release: 2001-08-02
Genre: Science
ISBN: 0198031017


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Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problems are often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled.


Spatial Evolutionary Modeling
Language: en
Pages: 265
Authors: Roman M. Krzanowski
Categories: Science
Type: BOOK - Published: 2001-08-02 - Publisher: Oxford University Press

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Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in
Spatial Ecology and Conservation Modeling
Language: en
Pages: 523
Authors: Robert Fletcher
Categories: Science
Type: BOOK - Published: 2019-02-15 - Publisher: Springer

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This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions,
Evaluation of Spatial Evolutionary Algorithm for Spatial Modeling
Language: en
Pages: 500
Authors: Roman M. Krzanowski
Categories: Geography
Type: BOOK - Published: 1997 - Publisher:

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Urban Spatial Evolution Simulation
Language: en
Pages: 203
Authors: Fangqu Niu
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

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Spatial Modeling in GIS and R for Earth and Environmental Sciences
Language: en
Pages: 800
Authors: Hamid Reza Pourghasemi
Categories: Science
Type: BOOK - Published: 2019-01-18 - Publisher: Elsevier

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Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance