Overview
- 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 neglected in the past
- Demonstrates how to relax the independence assumption in spatial interaction modelling to account for the spatial dependence in origin-destination flows
Part of the book series: SpringerBriefs in Regional Science (BRIEFSREGION)
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About this book
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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Table of contents (5 chapters)
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Front Matter
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The Analysis of Area Data
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Front Matter
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The analysis of area data
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The Analysis of Spatial Interaction Data
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Front Matter
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The analysis of spatial interaction data
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Back Matter
Reviews
From the reviews:
“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)Authors and Affiliations
Bibliographic Information
Book Title: Spatial Data Analysis
Book Subtitle: Models, Methods and Techniques
Authors: Manfred M. Fischer, Jinfeng Wang
Series Title: SpringerBriefs in Regional Science
DOI: https://doi.org/10.1007/978-3-642-21720-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-21719-7Published: 05 August 2011
eBook ISBN: 978-3-642-21720-3Published: 05 August 2011
Series ISSN: 2192-0427
Series E-ISSN: 2192-0435
Edition Number: 1
Number of Pages: VIII, 80
Number of Illustrations: 5 b/w illustrations
Topics: Regional/Spatial Science, Geographical Information Systems/Cartography, Statistical Theory and Methods, Methodology of the Social Sciences, Computer Appl. in Social and Behavioral Sciences