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Perspectives on Spatial Data Analysis

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Cover of 'Perspectives on Spatial Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Perspectives on Spatial Data Analysis
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    Chapter 2 Spatial Interaction and Spatial Autocorrelation: A Cross-Product Approach
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    Chapter 3 Spatial Statistical Analysis and Geographic Information Systems
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    Chapter 4 Whose Hand on the Tiller? Revisiting “Spatial Statistical Analysis and GIS”
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    Chapter 5 Spatial Interaction and Spatial Autocorrelation
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    Chapter 6 Second-Order Analysis of Point Patterns: The Case of Chicago as a Multi-center Urban Region
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    Chapter 7 Second-Order Neighborhood Analysis of Mapped Point Patterns
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    Chapter 8 A Class of Local and Global K Functions and Their Exact Statistical Methods
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    Chapter 9 Spatial Point Pattern Analysis of Plants
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    Chapter 10 The Analysis of Spatial Association by Use of Distance Statistics
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    Chapter 11 Constructing the Spatial Weights Matrix Using a Local Statistic
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    Chapter 12 Spatial Autocorrelation: A Statistician’s Reflections
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    Chapter 13 Health Surveillance Around Prespecified Locations Using Case-Control Data
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    Chapter 14 Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and Government Expenditures
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    Chapter 15 Characteristics of the Spatial Pattern of the Dengue Vector, <Emphasis Type="Italic">Aedes aegypti</Emphasis>, in Iquitos, Peru
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    Chapter 16 Spatial Filtering and Missing Georeferenced Data Imputation: A Comparison of the Getis and Griffith Methods
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    Chapter 17 Spatial Patterns of Fertility in Rural Egypt
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Citations

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Title
Perspectives on Spatial Data Analysis
Published by
Springer Berlin Heidelberg, December 2009
DOI 10.1007/978-3-642-01976-0
ISBNs
978-3-64-201975-3, 978-3-64-201976-0
Editors

Anselin, Luc, Rey, Sergio J.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Bachelor 2 15%
Lecturer > Senior Lecturer 1 8%
Other 1 8%
Researcher 1 8%
Other 2 15%
Unknown 3 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 23%
Social Sciences 2 15%
Economics, Econometrics and Finance 1 8%
Environmental Science 1 8%
Earth and Planetary Sciences 1 8%
Other 1 8%
Unknown 4 31%