Spatial Evolutionary Modeling
Published on 2. August 2001
265 pages
978-0-19-803101-7 (ISBN)
Description
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.
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Roman M. Krzanowski | Jonathan Raper
Spatial Evolutionary Modeling
Book
08/2001
Oxford University Press Inc
€311.60
Shipment within 15-20 days
Content
- Intro
- Contents
- Foreword
- 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
- 4 A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures
- 5 Designing Genetic Algorithms to Solve GIS Problems
- 6 Evolutionary Modeling of Routes: The Case of Road Design
- 7 Airspace Sectoring by Evolutionary Computation
- Index
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- Z
