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Spatial Data Analysis: Models, Methods and Techniques (SpringerBriefs in Regional Science) - Softcover
Synopsis
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.
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Review
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“Fischer and Wang detail the models, methods, and techniques that can be employed to describe and explain the pattern and behaviour of variables distributed over geographic space. ... This is a wholly useful text, aimed at quantitative geographers and spatial econometricians who ... want to develop their skills further. It would be ideal for masters-level students in GIS, spatial analysis, and econometrics as well as for the increasing body of researchers who are beginning to see the value of accounting for space in their models.” (Daniel Lewis, Environmental and Planning B: Planning and Design, Vol. 39 (4), 2012)"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2011
- ISBN 10 3642217192
- ISBN 13 9783642217197
- BindingPaperback
- LanguageEnglish
- Number of pages88
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Spatial Data Analysis : Models, Methods and Techniques
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Springer Berlin Heidelberg, 2011
ISBN 10: 3642217192
ISBN 13: 9783642217197
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Spatial Data Analysis
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Springer Berlin Heidelberg Aug 2011, 2011
ISBN 10: 3642217192
ISBN 13: 9783642217197
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Taschenbuch. Condition: 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. Seller Inventory # 9783642217197
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Spatial Data Analysis : Models, Methods and Techniques
Published by
Springer Berlin Heidelberg, 2011
ISBN 10: 3642217192
ISBN 13: 9783642217197
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Taschenbuch. Condition: 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. Seller Inventory # 9783642217197
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Spatial Data Analysis
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ISBN 10: 3642217192
ISBN 13: 9783642217197
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Kartoniert / Broschiert. Condition: 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. Seller Inventory # 5052648
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Spatial Data Analysis: Models, Methods and Techniques
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Spatial Data Analysis: Models, Methods and Techniques (SpringerBriefs in Regional Science)
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