Spatial Data Analysis: Theory and Practice

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Cambridge University Press, 2003 M04 17 - 432 páginas
Table of contents: 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.
 

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Contenido

scientific and policy context
15
The nature of spatial data
43
Obtaining spatial data through sampling
91
implications for spatial data analysis
116
conceptual models
181
visualization methods
188
numerical methods
226
Hypothesis testing in the presence of spatial dependence
273
Models for the statistical analysis of spatial data
289
descriptive
325
explanatory
350
References
394
Index
424
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Acerca del autor (2003)

Robert Haining is Professor of Human Geography at the University of Cambridge.

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