Spatial Data Analysis: Models, Methods and Techniques

✍ Scribed by Manfred M. Fischer, Jinfeng Wang (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2011
• Tongue: English
• Leaves: 91
• Series: SpringerBriefs in Regional Science
• Edition: 1
• Category: Library

✦ 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.

✦ Table of Contents

Front Matter....Pages i-viii
Introduction....Pages 1-11
Front Matter....Pages 13-13
Exploring Area Data....Pages 15-29
Modelling Area Data....Pages 31-44
Front Matter....Pages 45-46
Models and Methods for Spatial Interaction Data....Pages 47-59
Spatial Interaction Models and Spatial Dependence....Pages 61-70
Back Matter....Pages 71-82

✦ Subjects

Regional/Spatial Science; Geographical Information Systems/Cartography; Statistical Theory and Methods; Methodology of the Social Sciences; Computer Appl. in Social and Behavioral Sciences