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
11. Further examples of areal data modeling
Parallel to Chapter 8, this chapter showcases four examples of areal and temporal areal unit data sets. Click the links below to see the R-code for the examples.
All the model fitting is done using the Bcartime model fitting function in the bmstdr package. The fitted model object is then explored for making several types of inference required in different practical settings. The full version of the code lines for model fitting and further investigations are provided in an online supplement which allows the reader to reproduce all the results and graphs illustrated here.