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25 Remote Warehouse Geography- General

Spatial Evolutionary Modeling (Spatial Information Systems)

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Spatial Evolutionary Modeling (Spatial Information Systems) Cover

 

Synopses & Reviews

Publisher Comments:

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.

Book News Annotation:

Noting that users of geographical information systems (GIS) have not often applied the evolutionary modeling approach that is now common in many other fields, computer scientists and related scholars from Europe and the US explain the basics of the approach to GIS practitioners and researchers. They introduce the concept of evolution and evolutionary algorithms, describe the class of such algorithms designed to process spatial information, and present selected illustrations of applications. The treatment could serve as a primary textbook for courses in GIS, advanced spatial modeling methods, and information engineering, or as a supplementary text for computer science courses.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Table of Contents

Foreword, Michael F. Goodchild

Contributors

Part I. Evolutionary Algorithms: An Introduction

1. Concepts of Evolutionary Modeling and Evolutionary Algorithms

Part II. Spatial Evolutionary Modeling: Algorithms and Models

2. Modeling Spatial Phenomena

Part III. Spatial Evolutionary Algorithms: Applications

3. Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning, Catherine Dibble

4. A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures, Christopher Brooks

5. Designing Genetic Algorithms to Solve GIS Problems, Steven Van Dijk, Dirk Thierens, and Mark De Berg

6. Evolutionary Modeling of Routes: The Case of Road Design, Ângela Guimarães Pereira

7. Airspace Sectoring by Evolutionary Computation, Daniel Delahaye

Index

Product Details

ISBN:
9780195135688
Author:
Krzanowski, R. M.
Author:
Krzanowski, Roman
Author:
null, Roman M.
Author:
null, Jonathan
Author:
Roman M. Krzanowski
Author:
Raper, Jonathan
Publisher:
Oxford University Press, USA
Location:
Oxford
Subject:
Geology
Subject:
Information technology
Subject:
Mathematical models
Subject:
Geographic information systems
Subject:
Earth Sciences - Geography
Subject:
Earth Sciences - Geology
Subject:
Geography-General
Edition Description:
Includes bibliographical references and index.
Series:
Spatial information systems
Series Volume:
B-88-4
Publication Date:
20010831
Binding:
HARDCOVER
Grade Level:
College/higher education:
Language:
English
Illustrations:
95 line illus and halftones
Pages:
272
Dimensions:
9.54x6.40x.81 in. 1.28 lbs.

Related Subjects

Computers and Internet » Internet » Information
History and Social Science » Geography » General
History and Social Science » World History » General
Religion » Eastern Religions » Philosophy General
Science and Mathematics » Geology » General

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Product details 272 pages Oxford University Press - English 9780195135688 Reviews:
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