Spatial Regression Models : Quantitative Applications in the Social Sciences - Michael D. Ward

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Spatial Regression Models

By: Michael D. Ward, Kristian Skrede Gleditsch

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Paperback | 26 January 2018 | Edition Number 2

At a Glance

Paperback
128 Pages

Edition Type
Revised

Dimensions(cm)
21.59 x 13.97 x 0.64

Paperback

RRP $103.00

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Demonstrating the use of spatial analysis in the social sciences within a regression framework, the second edition of this text employs examples based on real data to illustrate the concepts discussed. The authors also provide relevant code to enable the users to work through the examples in the text.

Industry Reviews

"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 "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 "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 "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

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