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Spatial evolutionary modeling /

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Evolutionary models (e.g genetic algorithms, artificial life) are emerging as an important new tool for geographic information systems for a number of reasons. First, they are highly appropriate for modelling geographic phenomena; second, geographical problems are often spatially separate (broken do...

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Bibliographic Details
Main Authors: Krzanowski, Roman (Author), Raper, Jonathan (Author)
Format: eBook
Language:English
Published: New York : Oxford University Press, 2020.
Series:Spatial information systems.
Subjects:
Geographic information systems.
Genetic algorithms.
Mathematical models.
Geographic Information Systems
Models, Theoretical
Systèmes d'information géographique.
Algorithmes génétiques.
Modèles mathématiques.
geographic information systems.
mathematical models.
Genetic algorithms
Geographic information systems
Mathematical models
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:Evolutionary models (e.g genetic algorithms, artificial life) are emerging as an important new tool for geographic information systems for a number of reasons. First, they are highly appropriate for modelling geographic phenomena; second, geographical problems are often spatially separate (broken down into logical or regional problems), and evolutionary algorithms can exploit this structure; and finally, the ability to store, manipulate, and visualise spatial data has increased to the point that space-time attribute databases can be easily handled. This book is proposed to serve as a guide to the evolutionary modelling of spatial phenomena.
Item Description:Previously issued in print: 2001.
Physical Description:1 online resource (xx, 244 pages) : illustrations (black and white), maps (black and white).
Audience:Specialized.
Bibliography:Includes bibliographical references and index.
ISBN:9780197561621 (ebook)
0197561624 (ebook)