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Part A: The context for spatial data analysis
1. Spatial data analysis: scientific and policy context
2. The nature of spatial data
Part B: Spatial data: obtaining data and quality issues
3. Obtaining spatial data through sampling
4. Data quality: implications for spatial data analysis
Part 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
Part D: Hypothesis testing and spatial autocorrelation
8. Hypothesis testing in the presence of spatial dependence
Part 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.

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