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.

  1. Estimating annual average air pollution in England and Wales.
    2011_no2.png 2011_no2_sd.png allknotsew.png insideknots.png predgridew.png
  2. Assessing probability of non-compliance in air pollution
    compliance_plot_05.png compliance_plot_06.png fitted_3yave_99_06_base85.png fitted_an4thmax_97_06_base85.png met_adjusted_3ave_99_05.png met_adjusted_3yave_99_06_base85.png met_adjusted_4thmax_99_05.png met_adjusted_an4thmax_97_06_base85.png prob03-06.png prob99-02.png usagrid_knots.png uso3sites.png
  3. Analyzing precipitation data from the Hubbard Brook Experimental Forest
    9a.png 9ab.png 9b.png allpred_rolling_rain2010.png allpred_rolling_rain2010_sd.png ann_and_rolling.png average_annual.png elevation_hubbardbrook.png mean_var_log.png mean_var_orig.png mean_var_sqrt.png rain2001_hbes_wshed.png rain2001_hbes_wshed_sd.png rain2011_hbes_wshed.png rain2011_hbes_wshed_sd.png rain2015_total.png rain2015_total_sd.png rain_hist_orig.png rain_hist_sqrt.png rain_mean_vars.png rain_v_elevation.png rain_v_latitude.png rain_v_long_lat.png rain_v_longitude.png rainfall_phichoice.png rainfall_validation.png rolling_average_annual.png rolling_rain2010_hbes.png rolling_rain2010_hbes_wshed.png rolling_rain2010_sd_hbes.png rolling_rain2010_sd_hbes_wshed.png sd_trend_rolling_rain_05-15_hbes.png trend_rolling_rain_05-15_hbes.png trend_wshed05-15.png trend_wshed05-15_sd.png
  4. Assessing annual trends in ocean chlorophyll levels
    allknotsew.png blank_longhurst.png insideknots.png lat_and_lon_v_temp_scatter.png lat_v_temp_scatter.png lon_v_temp_scatter.png predgridew.png sd_temp_deep.png space_trend_longhurst.png temp_deep.png uso3sites.png
  5. Modeling temperature data from roaming ocean Argo floats
    argo_float_exploratory_deep.png argo_float_locations_deep.png lat_and_lon_v_temp_scatter.png lat_lon_v_temp_scatter.png lat_v_sali_scatter.png lat_v_temp_scatter.png latlon_v_salinity_scatter.png latlon_v_temp_scatter.png lon_v_sali_scatter.png lon_v_temp_scatter.png sd_temp_deep.png temp_deep.png temp_v_sali_scatter.png

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.

Last updated on Mar 30, 2022