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Intergrating Geographical Information Systems and Agent-Based Modeling

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For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithms have not been adequately written about. This book fills that gap and provides much needed information on applications for the research community as well as those in the management of natural resources.
Paperback / softback
01-October-2001
$156.80
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For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithms have not been adequately written about This book fills that gap and provides much needed information on applications for the research community as well as those in the management of natural resources.
Product Details
ISBN-13
9780195143379
Publisher
Oxford University Press USA
Published
01-October-2001
Format
Paperback / softback

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$156.80
Ships in 3-5 business days

Delivery estimate

Hurry up! Current stock:

Intergrating Geographical Information Systems and Agent-Based Modeling

$156.80

Description

For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithms have not been adequately written about This book fills that gap and provides much needed information on applications for the research community as well as those in the management of natural resources.