Spatial Regression Models for the Social Sciences
Spatial Regression Models for the Social Sciences Space and geography are important aspects of social science research in fields such as criminology, sociology, political science, and public health.…
Specifikacia Spatial Regression Models for the Social Sciences
Spatial Regression Models for the Social Sciences
Space and geography are important aspects of social science research in fields such as criminology, sociology, political science, and public health. 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). Many social scientists are interested in the spatial clustering of various behaviors and events.
Each spatial regression method is introduced in the same way. Spatial Regression Models for the Social Sciences fills the gap, and focuses on the methods that are commonly used by social scientists. Guangqing Chi and Jun Zhu explain what
Spatial Regression Models