R as GIS for Economists
This book is being developed as part of my effort to put together course materials for my data science course targeted at upper-level undergraduate and graduate students at the University of Nebraska Lincoln. This book aims particularly at spatial data processing for econometric projects, where spatial variables become part of an econometric analysis. Over the years, I have seen many students and researchers who spend so much time just processing spatial data (often involving clicking the ArcGIS (or QGIS) user interface to death), which is a waste of time from the perspective of academic productivity. My hope is that this book will help researchers become more proficient in spatial data processing and enhance the overall productivity of the fields of economics for which spatial data are essential.
I am an Assistant Professor at the Department of Agricultural Economics at the University of Nebraska Lincoln, where I also teach Econometrics for Master’s students. My research interests lie in precision agriculture, water economics, and agricultural policy. My personal website is here.
Contributors of the book
Here is the list of contributors to the book and the parts they contributed to:
- Bowen Chen, Postdoctoral researcher, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign
- Section 9.2
- Shinya Uryu, Data engineer, National Institute of Environmental Studies, Japan (github account: https://github.com/uribo)
- Section 8
Comments and Suggestions?
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