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Record Nr. |
UNINA9910816725503321 |
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Autore |
Krzanowski Roman |
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Titolo |
Spatial evolutionary modeling / / Roman Krzanowski, Jonathan Raper |
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Pubbl/distr/stampa |
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Oxford ; ; New York, : Oxford University Press, 2001 |
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ISBN |
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0-19-756162-4 |
1-280-53096-0 |
0-19-803101-7 |
1-4294-0390-X |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (265 p.) |
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Collana |
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Spatial information systems |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Genetic algorithms |
Geographic information systems |
Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Previously issued in print: 2001. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Foreword; Contents; 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 ComputationIndex; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; Z |
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Sommario/riassunto |
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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, manipulate, and visualise spatial data has increased to |
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