Assistant Professor Taylor Oshan, in collaboration with co-authors Regents Professor of Computational Spatial Science A. Stewart Fotheringham from the School of Geographical Sciences and Urban Planning at Arizona State University, and Ziqi Li, Assistant Professor of Quantitative Geography in the Department of Geography at Florida State University, has authored the book "Multiscale Geographically Weighted Regression: Theory and Practice," published by CRC Press.
The book offers a comprehensive exploration of local spatial modeling through Multiscale Geographically Weighted Regression (MGWR), presenting a balanced approach between conceptual and technical aspects. It introduces state-of-the-art spatial analysis techniques for multiscale regression modeling, elucidates best practices with a detailed software walkthrough, and includes a case study for practical application.
The authors take a cutting-edge, hands-on, and innovative approach to local spatial modeling, providing a guide to free, user-friendly, software for MGWR, as well as an example of the application of MGWR to understand voting behavior in the 2020 U.S. presidential election.
The book is designed for senior undergraduate and graduate students in advanced spatial analysis and GIS courses, as well as researchers, academics, and professionals interested in understanding the impact of location on human behavior through local regression modeling.
