Spatial evolutionary modeling
著者
書誌事項
Spatial evolutionary modeling
（Spatial information systems）
Oxford University Press, 2001
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Evolutionary models (e.g genetic algorithms, artificial life) are emerging as an important new tool for geographic information systems for a number of reasons. First, they are highly appropriate for modelling geographic phenomena; second, geographical problems are often spatially separate (broken down into logical or regional problems), and evolutionary algorithms can exploit this structure; and finally, the ability to store, mainipulate, and visualize spatial data
has increased to the point that space-time attribute databases can be easily handled. This book is proposed to serve as a guide to the evolutionary modelling of spatial phenomena.
目次
Michael F. Goodchild: 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: Catherine Dibble: Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning
4: Christopher Brooks: A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures
5: Steven Van Dijk, Dirk Thierens, and Mark De Berg: Designing Genetic Algorithms to Solve GIS Problems
6: Angela Guimaraes Pereira: Evolutionary Modeling of Routes: The Case of Road Design
7: Daniel Delahaye: Airspace Sectoring by Evolutionary Computation
Index
「Nielsen BookData」 より
