I am planning to apply suitable spatial-temporal model in gaseous concentrations (NO, NO2, NOx, and CO) measured at 30 monitoring station in Brisbane, Australia. Among them, 25 stations are short term monitoring data, approximately 2 weeks per site and rest of them are EPA monitoring data.
I am using R statistical software and trying to find out any suitable why to find out proper spatial-temporal model.
Previously, I tried R-INLA which did not work well for my purpose.
If you have any suggestion regarding this issue, it would be great help for me.
You can try the package sptimer: http://cran.r-project.org/web/packages/spTimer/index.html
You can also take a look to the Openair package:
http://www.openair-project.org
If you want to use the spatial-temporal model with observations from 30 monitoring stations to predict the concentration of pollutants at other location and at present or future time, then a state-space model based on Kalman filtering method can be useful. There are a number of packages in R or Matlab to do this.
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