Spatial Evolutionary Modeling

Inbunden, Engelska, 2001

Del i serien Spatial Information Systems

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2001-08-16
Mått:231 x 155 x 20 mm
Vikt:584 g
Format:Inbunden
Språk:Engelska
Serie:Spatial Information Systems
Antal sidor:272
Förlag:OUP USA
ISBN:9780195135688

Utforska kategorier

Geografi inom Naturvetenskap och teknik
Geologi inom Naturvetenskap och teknik
Byggnadsteknik inom Naturvetenskap och teknik

Recensioner i media

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.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.

Innehållsförteckning

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: Ângela Guimarães Pereira: Evolutionary Modeling of Routes: The Case of Road Design 7: Daniel Delahaye: Airspace Sectoring by Evolutionary Computation Index