You are here

Resources to help you transition to teaching online

Instructors: To support your transition to online learning, please see our resources and tools page whether you are teaching in the UK, or teaching outside of the UK.

Inspection copy update April 2020: Due to the current restrictions in place in response to COVID-19, our inspection copy policy has changed. Please refer to our updated inspection copy policy for full details. If you have recently placed an inspection copy order with us, we will be in touch to advise of any changes.

Spatial Regression Models
Share

Spatial Regression Models

Second Edition
Additional resources:


July 2018 | 128 pages | SAGE Publications, Inc
Spatial Regression Models illustrates the use of spatial analysis in the social sciences within a regression framework and is accessible to readers with no prior background in spatial analysis. The text covers different modeling-related topics for continuous dependent variables, including mapping data on spatial units, creating data from maps, analyzing exploratory spatial data, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures. 

Using social science examples based on real data, the authors illustrate the concepts discussed, and show how to obtain and interpret relevant results. The examples are presented along with the relevant code to replicate all the analysis using the R package for statistical computing. Users can download both the data and computer code to work through all the examples found in the text. New to the Second Edition is a chapter on mapping as data exploration and its role in the research process, updates to all chapters based on substantive and methodological work, as well as software updates, and information on estimation of time-series, cross-sectional spatial models.

Available with Perusall—an eBook that makes it easier to prepare for class

Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more
 
 
Chapter 1: Why Space in the Social Sciences?
 
Chapter 2: Maps as Displays of Information
 
Chapter 3: Interdependency Among Observations
 
Chapter 4: Spatially Lagged Dependent Variables
 
Chapter 5: Spatial Error Model
 
Chapter 6: Extensions

Supplements

“Ward and Gleditsch provide a valuable and highly accessible introduction to spatial analysis, including data and code for in-text examples and other course materials in an online repository. This is an excellent supplement for any introduction to spatial analysis!” 

Matthew Ingram
University at Albany, SUNY

“This ‘Little Green Book’ by Ward and Gleditsch introduces the fundamental concepts of spatial regression models. It is good for both introductory and intermediate level of students who like to implement spatial regression models into their research.” 

Changjoo Kim
University of Cincinnati

“This text provides a solid introduction to spatial thinking and spatial regression modeling for social scientists that transcends disciplinary boundaries, and will provide a valuable resource for students and professionals alike who are new to this material.” 

Corey Sparks
The University of Texas at San Antonio

“Spatial statistics is becoming increasingly important to all fields of social science. This book does a good job of providing a brief and essential introduction to core ideas in spatial statistics.” 

Juan Sandoval
Saint Louis University

Preview this book

Sample Materials & Chapters

Chapter 3: Interdependency Among Observations


For instructors

Select a Purchasing Option

SAGE Knowledge is the ultimate social sciences digital library for students, researchers, and faculty. Hosting more than 4,400 titles, it includes an expansive range of SAGE eBook and eReference content, including scholarly monographs, reference works, handbooks, series, professional development titles, and more.

The platform allows researchers to cross-search and seamlessly access a wide breadth of must-have SAGE book and reference content from one source.

SAGE Knowledge brings together high-quality content from across our imprints, including CQ Press and Corwin titles.