Just over one year ago, I met Robin in Poznan, Poland, who was teaching as part of the GEOCENTRUM project at the Adam Mickiewicz University. To our surprise, we found that we shared an idea of writing a book explaining how to use R for spatial data analysis.
The timing worked well. Over the next few months, Robin finished Phase II of his project (the Propensity to Cycle Tool (PCT)) and I completed my PhD and moved to Cincinnati to work in Space Informatics Lab.
Last week, I had a pleasure to conduct a workshop for graduate students and faculty in the Department of Geography and GIS at the University of Cincinnati. In two afternoons, a group of mostly beginners, learned a little bit about R, RStudio, data processing, and visualisation, as well as about spatial data analysis in R.
The workshop had four parts:
Intro to R. It introduces basics of R, such as assignment operator, functions, objects, classes, and data types.