Spatial Regression Models
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Spatial Regression Models



© 2008 | 112 pages | SAGE Publications, Inc

NOTE: Updated R code for use with this volume, along with other resources, is available at: http://privatewww.essex.ac.uk/~ksg/srm_book.html


Spatial Regression Models
illustrates the use of spatial analysis in the social sciences. The text includes sections that cover different modeling-related topics: mapping and making projections; doing exploratory spatial data analysis; working with models which have lagged endogenous right-handed side variables; using spatial error correction models; employing conditionally autoregressive models; and dealing with over-time panels exhibiting spatial structures. Each of the modeling-based discussions includes separate delineations of how to proceed when dealing with main variables that are quantitative as well as qualitative. In each section, the authors employ prominent and diverse examples, introducing readers to key literature in the field. The examples are presented along with relevant data and programs written in the R, which illustrate exactly how to undertake the analyses described. The book ends with a chapter that covers techniques for presenting spatial information.

 

Key Features

  • Geared toward social science readers, unlike other volumes on this topic.
  • Illustrates concepts using well-known international, comparative, and national examples of spatial regression analysis.
  • Presents each example alongside relevant data and code, which is also available on a Web site maintained by the authors.

 

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Preface
 
Chapter 1: Introduction
Interaction and Social Science  
Democracy Around the World  
Introducing Spatial Dependence  
Maps as Visual Displays of Data  
Measuring Spatial Association and Correlation  
Measuring Proximity  
Estimating Spatial Models  
Summary  
 
Chapter 2: Spatially Lagged Dependent Variables
Regression with Spatially Lagged Dependent Variables  
Estimating the Spatially Lagged y Model  
Maximum Likelihood Estimates of the Spatially Lagged Y Model of Democracy  
Equilibrium Effects in the Spatially Lagged y Model  
Spatial Dependence in Turnout in Italy  
Using Different Weights Matrices in a Spatially Lagged Dependent Variable Model  
The Spatially Lagged Dependent Variable Versus OLS with Dummy Variables  
Summary  
 
Chapter 3: Spatial Error Model
The Spatial Error Model  
Maximum Likelihood Estimation of the Spatial Errors Model  
Example: Democracy and Development  
Spatially Lagged y Versus Spatial Errors  
Assessing Spatial Error in Dyadic Trade Flows  
Summary  
 
Chapter 4: Extensions
Specifying Connectivities  
Inference and Model Evaluation  
Summary  
Appendix: Software Options  
References  
Key features
    • This book assumes no prior knowledge and is geared toward social science readers, unlike other volumes on this topic.
    • The text illustrates concepts using well known international, comparative, and national examples of spatial regression analysis.
    • Each example is presented alongside relevant data and code, which is also available on a Web site maintained by the authors.

Sample Materials & Chapters

Chapter 1.1

Chapter 2.1


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ISBN: 9781412954150

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