Abstract
Preface Readership Acknowledgements Introduction Part I. The Context for Spatial Data Analysis: 1. Spatial data analysis: scientific and policy context 2. The nature of spatial data Part II. Spatial Data: Obtaining Data And Quality Issues: 3. Obtaining spatial data through sampling 4. Data quality: implications for spatial data analysis Part III. The Exploratory Analysis of Spatial Data: 5. Exploratory analysis of spatial data 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 Part V. Modeling Spatial Data: 9. Models for the statistical analysis of spatial data 10. Statistical modeling of spatial variation: descriptive modeling 11. Statistical modeling of spatial variation: explanatory modeling Appendices References Index.
Keywords
Computer science
Affiliated Institutions
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Publication Info
- Year
- 2004
- Type
- article
- Volume
- 41
- Issue
- 06
- Pages
- 41-3486
- Citations
- 976
- Access
- Closed
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Cite This
Robert Haining
(2004).
Spatial data analysis: theory and practice.
Choice Reviews Online
, 41
(06)
, 41-3486.
https://doi.org/10.5860/choice.41-3486
Identifiers
- DOI
- 10.5860/choice.41-3486