Spatial Evolutionary Modeling

by Roman M. Krzanowski, Jonathan Raper

Overview

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.

Product Details

ISBN-13:	9780195135688
Publisher:	Oxford University Press
Publication date:	08/02/2001
Series:	Spatial Information Systems
Pages:	272
Product dimensions:	9.10(w) x 6.10(h) x 0.80(d)

About the Author

Polytechnic University

City University of London

Table of Contents

Foreword, Michael F. GoodchildContributorsPart I. Evolutionary Algorithms: An Introduction1. Concepts of Evolutionary Modeling and Evolutionary AlgorithmsPart II. Spatial Evolutionary Modeling: Algorithms and Models2. Modeling Spatial PhenomenaPart III. Spatial Evolutionary Algorithms: Applications3. Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning, Catherine Dibble4. A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures, Christopher Brooks5. Designing Genetic Algorithms to Solve GIS Problems, Steven Van Dijk, Dirk Thierens, and Mark De Berg6. Evolutionary Modeling of Routes: The Case of Road Design, Ângela Guimarães Pereira7. Airspace Sectoring by Evolutionary Computation, Daniel DelahayeIndex

Editorial Reviews

Clearly written and cutting edge, this book will appeal not only to GIS practitioners and researchers, but also to other professionals confronted by spatial problems. It may also serve as a primary textbook for college-level courses in GIS, advanced spatial modeling method and information engineering, or as a supplementary textbook for computer science courses.

From the Publisher