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Spatial Data Analysis: Models, Methods and Techniques (SpringerBriefs in Regional Science) - Softcover

Buch 1 von 10: SpringerBriefs in Regional Science

Fischer, Manfred M.; Wang, Jinfeng

 
9783642217197: Spatial Data Analysis: Models, Methods and Techniques (SpringerBriefs in Regional Science)
Softcover
ISBN 10: 3642217192 ISBN 13: 9783642217197
Verlag: Springer, 2011

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Manfred M. Fischer (born in 1947, Nuremberg, Germany) graduated in geography and mathematics from the Friedrich-Alexander University in Erlangen (Germany). He holds a Ph.D. (summa cum laude) on urban modelling from the same university (1975), and a habilitation degree in human geography from the University of Vienna (1982). Since 1988 he is professor in economic geography and GIScience at the Vienna University of Economics and Business.
For more than thirty years he has consistently made significant contributions to regional science and GIScience in general, and spatial analysis, GeoComputation and spatial econometrics in particular. He has published widely, both books and articles in more than 30 distinct academic journals.

Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2011
Sprache
Englisch
ISBN 10 
3642217192
ISBN 13 
9783642217197
Einband
Taschenbuch
Anzahl der Seiten
88
Kontakt zum Hersteller
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Verantwortliche Person
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