Spatial Evolutionary Modeling (Spatial Information Systems)

✍ Scribed by Roman M. Krzanowski, Jonathan Raper

• Publisher: Oxford University Press, USA
• Year: 2001
• Tongue: English
• Leaves: 265
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Cover
......Page 1
Contents......Page 18
Foreword......Page 8
Contributors......Page 20
Part I: Evolutionary Algorithms: An Introduction......Page 22
1 Concepts of Evolutionary Modeling and Evolutionary Algorithms......Page 24
Part II: Spatial Evolutionary Modeling: Algorithms and Models......Page 82
2 Modeling Spatial Phenomena......Page 84
Part III: Spatial Evolutionary Algorithms: Applications......Page 146
3 Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning......Page 148
4 A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures......Page 163
5 Designing Genetic Algorithms to Solve GIS Problems......Page 179
6 Evolutionary Modeling of Routes: The Case of Road Design......Page 201
7 Airspace Sectoring by Evolutionary Computation......Page 224
B......Page 256
C......Page 257
E......Page 258
G......Page 259
K......Page 260
N......Page 261
P......Page 262
S......Page 263
U......Page 264
Z......Page 265