Perspectives on Spatial Data Analysis

by Anselin, Luc; Rey, Sergio J.

• ISBN13: 9783642019753
• ISBN10: 3642019757
• Format: Hardcover
• Copyright: 2010-02-03
• Publisher: Springer Verlag

Summary

This book takes both a retrospective and prospective view of the field of spatial analysis by combining selected reprints of classic articles by Arthur Getis with current observations by leading experts in the field. Four main aspects are highlighted, dealing with spatial analysis, pattern analysis, local statistics as well as illustrative empirical applications. Researchers and students will gain an appreciation of Getis' methodological contributions to spatial analysis and the broad impact of the methods he has helped pioneer on an impressively broad array of disciplines including spatial epidemiology, demography, economics, and ecology. The volume is a compilation of high impact original contributions, as evidenced by citations, and the latest thinking on the field by leading scholars. This makes the book ideal for advanced seminars and courses in spatial analysis as well as a key resource for researchers seeking a comprehensive overview of recent advances and future directions in the field.

Table of Contents

Perspectives on Spatial Data Analysis	p. 1
Spatial Analysis
Spatial Interaction and Spatial Autocorrelation: A Cross-Product Approach	p. 23
Spatial Statistical Analysis and Geographic Information Systems	p. 35
Whose Hand on the Tiller? Revisiting ôSpatial Statistical Analysis and GISö	p. 49
Spatial Interaction and Spatial Autocorrelation	p. 61
Pattern Analysis
Second-Order Analysis of Point Patterns: The Case of Chicago as a Multi-center Urban Region	p. 83
Second-Order Neighborhood Analysis of Mapped Point Patterns	p. 93
A Class of Local and Global K Functions and Their Exact Statistical Methods	p. 101
Spatial Point Pattern Analysis of Plants	p. 113
Local Statistics
The Analysis of Spatial Association by Use of Distance Statistics	p. 127
Constructing the Spatial Weights Matrix Using a Local Statistic	p. 147
Spatial Autocorrelation: A Statistician's Reflections	p. 165
Health Surveillance Around Prespecified Locations Using Case-Control Data	p. 181
Applications
Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and government Expenditures	p. 191
Characteristics of the Spatial Pattern of the Dengue Vector, Aedes aegypti, in Iquitos, Peru	p. 203
Spatial Filtering and Missing Georeferenced Data Imputation: A Comparison of the Getis and Griffith Methods	p. 227
Spatial Patterns of Fertility in Rural Egypt	p. 235
References	p. 257
Author Index	p. 275
Index	p. 283
Contributors	p. 287
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