ABSTRACT
This chapter showcases spatio-temporal modeling for point referenced data using five practical examples. The examples highlight the practical use of such modeling and extend the methodologies where necessary.
The examples build on the basic concepts introduced in the earlier chapters, especially the previous chapter, on spatio-temporal modeling. The example data sets are:
daily nitrogen di-oxide air pollution data from England and Wales,
daily ground-level ozone pollution levels for ten years during the peak ozone season May to August,
weekly precipitation volume data from 22 rain gauges in the Hubbard Brook experimental forest in New Hampshire, USA,
satellite recorded monthly ocean chlorophyll levels and surface temperature in the world's oceans,
daily measurements of ocean temperature and salinity levels from roaming Argo oats in the North Atlantic Ocean.
All the examples illustrate the calculation of spatio-temporal statistics, e.g. annual levels from daily observations, trends in annual levels, along with their uncertainties. Commentary has been provided to reproduce the results, and the online supplement contains the full code.
