1. Examples of spatio-temporal data2. Jargon of spatial and spatio-temporal modeling3. Exploratory data analysis methods4. Bayesian inference methods5. Bayesian computation methods6. Bayesian modeling for point referenced spatial data7. Bayesian modeling for point referenced spatio-temporal data8. Practical examples of point referenced data modeling9. Bayesian forecasting for point referenced data10. Bayesian modeling for areal unit data11. Further examples of areal data modeling12. Gaussian processes for data science and other applications
1. Examples of spatio-temporal data2. Jargon of spatial and spatio-temporal modeling3. Exploratory data analysis methods4. Bayesian inference methods5. Bayesian computation methods6. Bayesian modeling for point referenced spatial data7. Bayesian modeling for point referenced spatio-temporal data8. Practical examples of point referenced data modeling9. Bayesian forecasting for point referenced data10. Bayesian modeling for areal unit data11. Further examples of areal data modeling12. Gaussian processes for data science and other applications
8. Practical examples of point referenced data modeling
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. Click the links below to see the R-code for the examples.
All the examples illustrate 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.