Date & Time: Tuesday 20 September 13:30 -14:30; Thursday 22 September 9:00 - 12:30
Objective: This session will provide an introduction to the analysis spatial and spatio-temporal point patterns with R.
General description: The aim of this session is to provide an introduction to the analysis of spatial and spatio-temporal point patterns with R. In particular, for spatial point patterns the session will cover estimation of first and second-order properties, which will be used to assess clustering, regularity or complete randomness of a point pattern. For spatio-temporal point patterns the session will introduce some classes for space-time data and then show how to estimate the intensity of the point pattern at different time period. Finally, the link between point patterns and Poisson processes is establisehd and a Bayesian spatio-temporal modeling is done with the R-INLA package.
Required back-ground knowledge: Knowledge of the R software and the sp, spacetime and spatstat packages will help to follow this session.
Software / R packages required: sp, spacetime, spatstat, and others. A script is provided to download all the required packages (and possibly more...).
- Bivand et al. (2013) Applied Spatial Data Anlaysis with R. New York: Springer.
- Baddeley et al. (2015). Spatial Point Patterns - Methodology and applications with R. Boca Raton: CRC Press.
|R script to install all the required packages for this session (and possibly more...)||507 bytes|
|R code (used in the slides)||35.96 KB|
|Practical 1 (spatial point patterns)||74.35 KB|
|Practical 2 (spatio-temporal point patterns)||77.06 KB|
|Dataset for practicals (Incidents in San Francisco)||6.72 MB|