Spatial data analysis : theory and practice / Robert Haining.
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Published: |
Cambridge, UK ; New York :
Cambridge University Press,
2003.
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Format: | Book |
Table of 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
- App. IV. Children excluded from school: Sheffield.