Preface | |
Readership | |
Acknowledgements | |
Introduction | |
Part I. The Context for Spatial Data Analysis: 1. Spatial data analysis: scientific and policy context |
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2. The nature of spatial data | |
Part II. Spatial Data: Obtaining Data And Quality Issues: 3. Obtaining spatial data through sampling |
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4. Data quality: implications for spatial data analysis | |
Part III. The Exploratory Analysis of Spatial Data: 5. Exploratory analysis of spatial data |
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6. Exploratory spatial data analysis: visualisation methods | |
7. Exploratory spatial data analysis: numerical methods | |
Part IV. Hypothesis Testing in the Presence of Spatial Autocorrelation: 8. Hypothesis testing in the presence of spatial dependence |
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Part V. Modeling Spatial Data: 9. Models for the statistical analysis of spatial data |
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10. Statistical modeling of spatial variation: descriptive modeling | |
11. Statistical modeling of spatial variation: explanatory modeling | |
Appendices | |
References | |
Index. |