Regression analysis and spatial regression analysis in R.
This workshop session was about using R for regression analysis, both in a non-spatial and a spatial context. Wouter and Stijn presented parts of what they prepared for a recent book chapter (in press). Here you can find the data, the syntax and the html-file presented in the workshop meeting.
Wouter is a Senior Researcher at the NSCR. For analyses he has used Excel, SPSS, Stata Mplus, MLWiN, and QGis. Not a big fan of C++ and Java, but once upon a time he knew the basics. Wouter started using R around 2012, due to a collaboration with a visiting scholar who used R. Classic case of SIR model (Susceptible - Infection - Recovery) although he has never recovered from his R infection. Also, the R bug destroyed his interest in the above-mentioned programs :-). His main research interests are in spatial patterns of crime and quantitative research methods.
Stijn is a Senior Researcher and management team member at the NSCR. He is program leader of two of its five research groups, and also Professor at the Department of Sociology, Utrecht University. Stijn has used R ever since he attended the Summer School in Ann Arbor in 2004, even for generating his kitchen tiling pattern. His main research interests are in Geographic and Environmental Criminology, Policing, Quantitative, Analytical, and Computational Sociology, and he is a great believer in Open Science and Open-source.
For attribution, please cite this work as
Steenbeek & Ruiter (2021, Sept. 27). NSC-R Workshops: Spatial Regression. Retrieved from https://nscrweb.netlify.app/posts/2021-09-27-spatialregression/
BibTeX citation
@misc{steenbeek2021spatial, author = {Steenbeek, Wouter and Ruiter, Stijn}, title = {NSC-R Workshops: Spatial Regression}, url = {https://nscrweb.netlify.app/posts/2021-09-27-spatialregression/}, year = {2021} }