Spatio-temporal geostatistics with R: J SFdS paper & short course

Supplementary material for the paper Analyzing spatio-temporal data with R:  Everything you always wanted to know -- but were afraid to ask published by the Journal de la SFdS

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

  • 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