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
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 https://us.sagepub.com/en-us/nam/spatial-regression-models-for-the-social-sciences/book258546.