June 27 - June 30 2016
Stanford University, Stanford, California
The materials used in the tutorial are available here.
The tutorial will introduce users to the different types of spatial data (points, lines, polygons, rasters) and demonstrate how they are read in R. It will also explain how time series data can be imported, handled and analyzed in R. Then, it will explain the different types of spatiotemporal data and trajectory data, and present ways of importing them and analyzing them.
In addition, participants will be pointed to further resources (R packages, CRAN task views, software papers, scientific literature).
Using a small number of use cases, following this sequence, the tutorial will illustrate how to
and give users the opportunity to experiment with this material.
The tutorial consists of three one-hour blocks, where 45 mins lecturing/ demonstration is followed by 15 mins breaks where participants can try to replicate the analysis, work on their own data, or start small-group discussions.
Prospective planning: * first hour: spatial and temporal * second hour: spatiotemporal, intersections, aggregations * third hour: movement data, meaningfulness, data integration
Some prior familiarity with handling spatial and/or temporal data is of benefit, but not required. Familiarity with R is assumed.
Edzer Pebesma is professor in geoinformatics since 2007. He is Co-Editor-in- Chief for the Journal of Statistical Software and Computers & Geosciences, and associate editor for Spatial Statistics. He is developer and maintainer of several popular package packages for handling and analyzing spatial and spatiotemporal data (sp, spacetime, trajectories, gstat), co-author of the book Applied Spatial Data Analysis with R, second edition, and active member of the r-sig-geo community. He gives regular tutorials on this topic area, for instance during the yearly geostat summer schools. The tutorial material on analyzing trajectory (movement) data is new.
Edzer’s google scholar page is found here.