| Description |
xx, 432 pages cm : illustrations ; 25 cm |
| Contents |
Pt. A. The context for spatial data analysis -- 1. Spatial data analysis: scientific and policy context -- 2. The nature of spatial data -- Pt. B. Spatial data: obtaining data and quality issues -- 3. Obtaining spatial data through sampling -- 4. Data quality implications for spatial data analysis -- Pt. C. The exploratory analysis of spatial data -- 5. Exploratory spatial data analysis: conceptual models -- 6. Exploratory spatial data analysis: visualization methods -- 7. Exploratory spatial data analysis: numerical methods -- Pt. D. Hypothesis testing and spatial autocorrelation -- 8. Hypothesis testing in the presence of spatial dependence -- Pt. E. Modelling spatial data -- 9. Models for the statistical analysis of spatial data -- 10. Statistical modelling of spatial variation: descriptive modelling -- 11. Statistical modelling of spatial variation: explanatory modelling -- App. II. Cambridgeshire lung cancer data -- App. III. Sheffield burglary data |
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App. IV. Children excluded from school: Sheffield |
| Summary |
Spatial data are data about the world where both the attribute of interest, and its location on the earth are recorded. Are there geographic clusters of disease cases, or hotspots of crime, for example? This comprehensive overview explains all for students and researchers in geography, social science and environmental science |
| Notes |
Title from e-book title screen (viewed October 15, 2007) |
| Bibliography |
Includes bibliographical references (pages 394-423) and index |
| Notes |
Also available online via the World Wide Web, by subscription to EBL (Ebook Library) |
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System requirements: Internet connectivity, World Wide Web browser, and Adobe Acrobat reader |
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Mode of access: World Wide Web |
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Print version record |
| Subject |
Spatial analysis (Statistics)
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Geology -- Statistical methods -- Data processing.
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| Author |
MyiLibrary.
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| LC no. |
2002031242 |
| ISBN |
0521774373 |
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0521773199 |
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9780521774376 |
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