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Spatial Regression Models (Quantitative Applications in the Social Sciences) book cover by Michael D. Ward, Kristian Skrede Gleditsch
Paperback

Spatial Regression Models (Quantitative Applications in the Social Sciences)

by Michael D. Ward and Kristian Skrede Gleditsch

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Total $1,333.75

Paperback · 128 pages SAGE Publications · 2018

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About the book

Spatial Regression Models (Quantitative Applications in the Social Sciences)

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, exploratory spatial data analysis, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures. 

Using social sciences examples based on real data, Michael D. Ward and Kristian Skrede Gleditsch 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.

Details

Publisher
SAGE Publications
Authors
Michael D. Ward, Kristian Skrede Gleditsch
Format
Paperback
Published
Apr 30, 2018
ISBN-13
9781544328836
ISBN-10
1544328834
Pages
128
Carton quantity
100 copies
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