Spatial Regression Models for the Social Sciences (Advanced Quantitative Techniques in the Social Sciences)

✍ Scribed by Guangqing Chi, Jun Zhu

Publisher: SAGE Publications, Inc
Year: 2019
Tongue: English
Leaves: 233
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Introduction
In: Spatial Regression Models for the Social Sciences
Exploratory Spatial Data Analysis
In: Spatial Regression Models for the Social Sciences
Models Dealing With Spatial Dependence
In: Spatial Regression Models for the Social Sciences
Advanced Models Dealing With Spatial Dependence
In: Spatial Regression Models for the Social Sciences
Models Dealing With Spatial Heterogeneity
In: Spatial Regression Models for the Social Sciences
Models Dealing With Both Spatial Dependence and Spatial Heterogeneity
In: Spatial Regression Models for the Social Sciences
Advanced Spatial Regression Models
In: Spatial Regression Models for the Social Sciences
Practical Considerations for Spatial Data Analysis
In: Spatial Regression Models for the Social Sciences

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