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:	9780198031017
Publisher:	Oxford University Press
Publication date:	08/02/2001
Series:	Spatial Information Systems
Sold by:	Barnes & Noble
Format:	eBook
File size:	6 MB

About the Author

Polytechnic University

City University of London

Table of Contents

	Foreword	vii
	Contributors	xix
Part I	Evolutionary Algorithms: An Introduction
1	Concepts of Evolutionary Modeling and Evolutionary Algorithms	3
Part II	Spatial Evolutionary Modeling: Algorithms and Models
2	Modeling Spatial Phenomena	63
Part III	Spatial Evolutionary Algorithms: Applications
3	Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning	127
4	A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures	142
5	Designing Genetic Algorithms to Solve GIS Problems	158
6	Evolutionary Modeling of Routes: The Case of Road Design	180
7	Airspace Sectoring by Evolutionary Computation	203
	Index	235

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