Spatial Data Analysis

1. Front Matter

   Pages i-viii

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2. Introduction

   • Manfred M. Fischer, Jinfeng Wang

   Pages 1-11

3. The Analysis of Area Data

   1. Front Matter

      Pages 13-13

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4. The analysis of area data

   1. Exploring Area Data

      • Manfred M. Fischer, Jinfeng Wang

      Pages 15-29

   2. Modelling Area Data

      • Manfred M. Fischer, Jinfeng Wang

      Pages 31-44

5. The Analysis of Spatial Interaction Data

   1. Front Matter

      Pages 45-46

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6. The analysis of spatial interaction data

   1. Models and Methods for Spatial Interaction Data

      • Manfred M. Fischer, Jinfeng Wang

      Pages 47-59

   2. Spatial Interaction Models and Spatial Dependence

      • Manfred M. Fischer, Jinfeng Wang

      Pages 61-70

7. Back Matter

   Pages 71-82

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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.

• Area Data
• Origin-Destination Flow Data
• Spatial Analysis
• Spatial Econometrics
• Spatial Statistics

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)

• Business, Socio Economics, Vienna University of Economic and, Vienna, Austria

  Manfred M. Fischer

• IGSNRR, State Key Laboratory of Resources &, Chinese Academy of Sciences, Beijing, China, People's Republic

  Jinfeng Wang

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