Skip to main content
Spatial Regression Models
Add to Calendar 2020-04-28T20:00:00 2020-04-28T21:00:00 UTC Spatial Regression Models



Start DateTue, Apr 28, 2020
4:00 PM
End DateTue, Apr 28, 2020
5:00 PM
Presented By
Guangqing Chi

Guangqing Chi, Associate Professor of Rural Sociology and Demography, Agricultural Economics, Sociology and Education Associate Professor, Department of Public Health Sciences Director, SSRI/PRI Computational and Spatial Analysis Core

Event Series:

The spatial aspect of many population health problems has been increasingly recognized and studied using spatial analysis and spatial regression models. While the methods are many, there is a learning curve to learn and apply them to empirical analysis. This talk aims to introduce the concepts of spatial regression modeling and provides a taste of the spatial regression models that can be useful for population health research. This talk is based on a recently published textbook titled “Spatial Regression Models for the Social Sciences” (Guangqing Chi and Jun Zhu. 2019. SAGE. ISBN: 9781544302072). More information about this book can be found at