ISBN: 9783642217197 - spatial data analysis: models, methods and techniques (16 risultati)

Lingua: Inglese
Editore: Springer, 2011
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Lingua: Inglese
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Condizione: New. pp. 92, Map.

Lingua: Inglese
Editore: Springer Verlag, 2011
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Paperback. Condizione: Brand New. 88 pages. 8.90x6.00x0.30 inches. In Stock.

Lingua: Inglese
Editore: Springer Vieweg, 2011
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.…

Lingua: Inglese
Editore: Springer, 2011
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.…

Lingua: Inglese
Editore: Springer, 2011
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Altre immaginiLingua: Inglese
Editore: Springer, 2011
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Spatial Data Analysis | Models, Methods and Techniques | Manfred M. Fischer (u. a.) | Taschenbuch | SpringerBriefs in Regional Science | viii | Englisch | 2011 | Springer | EAN 9783642217197 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Lingua: Inglese
Editore: Springer, 2011
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Lingua: Inglese
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Lingua: Inglese
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Lingua: Inglese
Editore: Springer 2011-08, 2011
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Lingua: Inglese
Editore: Springer Berlin Heidelberg Aug 2011, 2011
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered. 92 pp. Englisch.…

Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2011
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book helps the reader Provides a quick overview of the best practice models, methods and techniques in spatial data analysis Shows how to correctly interpret the results of spatial regression models, an issue that had been largely negle.…

Lingua: Inglese
Editore: Springer, 2011
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 92 5 Illus., Map.

Lingua: Inglese
Editore: Springer, 2011
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Condizione: New. PRINT ON DEMAND pp. 92.

Lingua: Inglese
Editore: Springer, Springer Aug 2011, 2011
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 92 pp. Englisch.…