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Spatial Data Analysis Robert Haining (University of Cambridge)

Spatial Data Analysis von Robert Haining (University of Cambridge)

Spatial Data Analysis Robert Haining (University of Cambridge)


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Zusammenfassung

Spatial data are data about the world where both the attribute of interest, and its location on the earth are recorded. Are there geographic clusters of disease cases, or hotspots of crime, for example? This comprehensive overview, first published in 2003, explains all for students and researchers in geography, social science and environmental science.

Spatial Data Analysis Zusammenfassung

Spatial Data Analysis: Theory and Practice Robert Haining (University of Cambridge)

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.

Über Robert Haining (University of Cambridge)

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

Inhaltsverzeichnis

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.

Zusätzliche Informationen

GOR001904375
9780521774376
0521774373
Spatial Data Analysis: Theory and Practice Robert Haining (University of Cambridge)
Gebraucht - Sehr Gut
Broschiert
Cambridge University Press
2003-04-17
454
N/A
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