- Revised Manuscript (dated 13/09/2017)
- R Markdown script
- "Knit-pdf" output of the R Markdown script
- Compressed files containing the data and other Rdata structures : CHM data ; all other data
Once data have been downloaded and uncompressed, move the CHM.Rdata file in the 'data' directory. At the end, there must be a unique directory, called 'data', containing all .Rdata files. The compressed files can be decompressed using gunzip with Linux and 7-Zip with Windows.
METMA 9 minicourse in Montpellier
- Introductory slides
- Session 1: Handling and importing large spatio-temporal data using structured objects; projection coordinate systems for geolocated data. Accompanying slides
- Session 2: Visualizing data according to their temporal, spatial or spatio-temporal structures. Accompanying slides
- Session 3: Statistical inference for spatio-temporal models: method of moments; maximum likelihood, pairwise composite likelihoods. Accompanying slides
- Session 4: Prediction and validation. Accompanying slides
R file (need to change de suffic from .Rmd to .R)
Spatial Statistics workshop in Lancaster
- Introductory slides
- Session 1: Handling and importing large spatio-temporal data using structured objects; projection coordinate systems for geolocated data. Accompanying slides
- Session 2: Visualizing data according to their temporal, spatial or spatio-temporal structures. Accompanying slides
- Session 3: Statistical inference for spatio-temporal models: method of moments; maximum likelihood, pairwise composite likelihoods. Accompanying slides
- Session 4: Prediction and validation. Accompanying slides