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In 2008, we published an article titled “Spatial Regression Models for Demographic Analysis” in the journal Population Research and Policy Review to introduce spatial regression models for demographic research. It was well received, largely because spatial regression models were still new to social scientists at that time. Around 2010, we started to write a book of spatial regression models and methods for social scientists. Between now and then, we have presented the book idea and many rounds of revision in a variety of venues, and the feedback has been positive and enthusiastic: There does appear to be a need for such a spatial regression method book for social scientists.

This book is not a work that is solely ours; rather, it is a work collectively accomplished by us with tremendous support from our mentors, colleagues, students, editors, friends, and families. First, we would like to thank our students, Donghui Wang, Maria Kamenetsky, Supriya Joshi, and Taylor Hackemack, for having provided assistance with figures, tables, and data analysis.

We received valuable advice and suggestions from mentors and colleagues. Paul Voss was instrumental in teaching Guangqing Chi spatial regression methods. Stephanie Bohon, David Levinson, Stephen Matthews, David Plane, Stuart Sweeney, Tse-Chuan Yang, and Stephen Ventura provided advice and suggestions for our book.

We would also like to thank the institutions where we work(ed) during the development of the book: The Pennsylvania State University, University of Wisconsin–Madison, Mississippi State University, and South Dakota State University. This book is supported in part by the National Science Foundation (Awards CMMI-1541136, OPP-1745369, DGE-1806874, and SES-1823633), the National Aeronautics and Space Administration (Award NNX15AP81G), the U.S. Department of Transportation (Award DTRT12GUTC14), and the National Institutes of Health (Awards P2C HD041025 and U24 AA027684).

This book would not be possible without the tremendous support from the SAGE team. Helen Salmon, our Acquisitions Editor, was essential in guiding us to revise the book to be high quality and to tailor it better for our readers. Professor Shenyang Guo, the Editor of the Advanced Quantitative Techniques in the Social Sciences Series, has provided insightful comments for our book. Megan O’Heffernan has been very helpful in assisting us during the final touches of the book. Also, reviewers provided many constructive comments and suggestions, which have helped us revise this book from a reference book into a textbook that is more pedagogical. They are J. S. Onesimo Sandoval, Saint Louis University; Daoqin Tong, Arizona State University; Peter Rogerson, University of Buffalo; Wenwu Tang, University of North Carolina at Charlotte; Changjoo Kim, University of Cincinnati; and Karen Kemp, University of Southern California.

We are grateful to Cindy Sheffield Michaels, now Editor of Special Publications for ASHRAE, for having worked with us from the very beginning. She not only edited the content and format but also provided constructive suggestions to make the book readable from the reader’s perspective. What’s more important, she encouraged us to move this book project forward when we ran out of steam, several times.

Guangqing’s eldest daughter, Claire, has asked multiple times when the book will be published, because Guangqing promised her at the very early stages of this project that he would acknowledge his family so that Claire’s name will show up in a book. So, Guangqing’s last but not the least acknowledgment goes to his family—Yunjuan Jiang, Claire Chi, Gloria Chi, and Lydia Chi—for their patience and support. As for Jun, she would like to take this opportunity to express her deep gratitude toward all those who have mentored her with kindness and compassion, especially her parents, academic advisers, and colleague mentors.

Guangqing Chi and Jun Zhu

October 2018