Spatial Data Analysis: Theory and Practice

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Cambridge University Press, 2003 M04 17 - 432 páginas
Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master's level students, but it also contains sufficient challenging material that it will be of interest to geographers, social and economic scientists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.
 

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Contenido

Introduction
1
scientific and policy context
15
The nature of spatial data
43
Obtaining spatial data through sampling
91
implications for spatial data analysis
116
b Spatial outliers
122
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
Derechos de autor

b Methods for data from a continuous surface
215

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Acerca del autor (2003)

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

Información bibliográfica