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                  Spatial Data Analysis: Theory and Practice

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Type.................: Ebook

Part Size............: 6,549,994 bytes



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Are there geographic clusters of disease cases, or hotspots of crime? Can the

geography of air quality be matched to where people hospitalized for respiratory

complaints actually live? Spatial data is data about the world where the

attribute of interest and its location on the earth's surface are recorded. This

comprehensive overview of the subject shows how the above questions can be

tackled. It is written for students and researchers in geography, economics,

social science, the environmental sciences and statistics.



Table Of Contents



Preface

Acknowledgements

Introduction 1

Pt. A The context for spatial data analysis

1 Spatial data analysis: scientific and policy context 15

2 The nature of spatial data 43

Pt. B Spatial data: obtaining data and quality issues

3 Obtaining spatial data through sampling 91

4 Data quality implications for spatial data analysis 116

Pt. C The exploratory analysis of spatial data

5 Exploratory spatial data analysis: conceptual models 181

6 Exploratory spatial data analysis: visualization methods 188

7 Exploratory spatial data analysis: numerical methods 226

Pt. D Hypothesis testing and spatial autocorrelation

8 Hypothesis testing in the presence of spatial dependence 273

Pt. E Modelling spatial data

9 Models for the statistical analysis of spatial data 289

10 Statistical modelling of spatial variation: descriptive modelling

325

11 Statistical modelling of spatial variation: explanatory modelling

350

App. I: Software 379

App. II Cambridgeshire lung cancer data 381

App. III Sheffield burglary data 385

App. IV Children excluded from school: Sheffield 391

References 394

Index 424



Product Details



    * ISBN: 0521773199

    * ISBN-13: 9780521773195

    * Format: Hardcover, 452pp

    * Publisher: Cambridge University Press

    * Pub. Date: June 2003



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