Course will run from 9:00am - 5:00pm. Registration will open at 8:45am on the first day.
Prof. Adrian Baddeley (Curtin University, Australia)
Assoc. Prof. Ege Rubak (Aalborg University, Denmark)
Spatial point pattern datasets are becoming common across many fields of research. However, statistical methodology for analysing these data has not been easily accessible. This course is a practical introduction to the analysis of spatial point patterns with a strong focus on hands-on exercises throughout the course.
The course gives an in-depth introduction to
spatstat, an R package for analysing spatial point patterns. The package supports a complete statistical analysis of spatial point pattern data: data input and inspection, calculations, plotting, exploratory data analysis, hypothesis tests, model-fitting, simulation, Monte Carlo methods and model diagnostics. The course will cover:
spatstatand how to find the way around
To obtain these outcomes the course will:
Participants are recommended to have the following prerequisites
spatstatinstalled. Please ensure that all the `Suggested' packages for
spatstatare also installed.
The first 20 paid registrations will receive a hard copy of "Spatial Point Patterns: Methodology and Applications with R" by Adrian Baddeley, Ege Rubak and Rolf Turner. All other participants will receive an ebook.