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Spatial Regression Models for the Social Sciences
by Guangqing Chi,Jun Zhu
Published on 2019-03-06 by SAGE Publications

Space and geography are important aspects of social science research in fields such as criminology, sociology, political science, and public health. Many social scientists are interested in the spatial clustering of various behaviors and events. There has been a rapid development of interest in regression methods for analyzing spatial data over recent years, but little available on the topic that is aimed at graduate students and advanced undergraduate classes in the social sciences (most texts are for the natural sciences, or regional science, or economics, and require a good understanding of advanced statistics and probability theory). Spatial Regression Models for the Social Sciences fills the gap, and focuses on the methods that are commonly used by social scientists. Each spatial regression method is introduced in the same way. Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it, by connecting it to social science research topics. They try to avoid mathematical formulas and symbols as much as possible. Secondly, throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us. Spatial Regression Models for the Social Sciences provides comprehensive coverage of spatial regression methods for social scientists and introduces the methods in an easy-to-follow manner.

This Book was ranked at 17 by Google Books

Book ID of Spatial Regression Models for the Social Sciences is o1GKDwAAQBAJ, Book which was written byGuangqing Chi,Jun Zhuhave ETAG "VALW6oqBOCI"

Book which was published by SAGE Publications since 2019-03-06 have ISBNs, ISBN 13 Code is 9781544302089 and ISBN 10 Code is 1544302088

Book which have 272 Pages

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