Does anyone have an example to share on a statistical model that incorporates temporal and spatial autocorrelation terms simultaneously?
Examples in ecology and hydrology research would be optimal. Thanks in advance.
Hi Lorrayne Miralha ,
You might want to check the following out - the first is an interesting article/tutorial that covers how to use R-INLA for performing the spatial and spatiotemporal modelling in R.
Article A tutorial on spatio-temporal disease risk modelling in R us...
The second is an extremely paper useful (there's a textbook version of this authored by Marta Blangiardo and Michela Cameletti which I highly recommend you get a hold off). You will find what you need in chapter 6 and 7. Beneath it is a link to the data and codes used in all chapters.
Article Bayesian spatial and spatiotemporal modelling with R-INLA
Datasets and code: https://sites.google.com/a/r-inla.org/stbook/r-code
Most examples are epidemiological but highly applicable to your area of expertise.
Anwar.
You may want to check my paper, "Geography is Destiny...."available in RG where I had used Geoda, an open access software to do spatial autocorrelation.
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