Spatial Regression Models

Spatial Regression Models, 2nd ed. illustrates the use of spatial analysis in the social sciences within a regression framework. The book is accessible to readers without prior background in spatial analysis. Spatial Regression Models, 2nd ed.
includes sections that cover different modeling-related topics for continuous dependent variables, including: mapping data on spatial units, exploratory spatial data analysis, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures. In each section, the authors employ examples from the social sciences based on real data to illustrate the concepts discussed, how to obtain and interpret relevant results. The examples are presented along with the relevant code to replicate all the analysis using the freely available R package for statistical computing. Users can download both the data and computer code and work through all the examples found in the text. The final section examines various extensions from the regression models discussed, and provides pointers to additional spatial techniques. New to the Second Edition is a new chapter on mapping as data exploration and its role in the research process, and updates to all chapters based on substantive and methodological work, as well as software updates, since the previous edition.