Worked out example of spatiotemporal interpolation of daily precipitation?

[Tomislav Hengl-5]

We are looking for a worked out example of spatiotemporal interpolation
(using spatiotemporal kriging / regression-kriging or universal kriging)
of daily precipitation in R. Daily precipitation is a zero-inflated
variable so using some model based geostatistical solution
(https://www.jstatsoft.org/article/view/v063i12/v63i12.pdf) is probably
not an option?

We would like to compare geostatistical interpolation with the spacetime RF:

https://github.com/thengl/GeoMLA#prediction-of-spatio-temporal-variable

thank you,

T. Hengl
https://orcid.org/0000-0002-9921-5129

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[Thierry Onkelinx]

Dear Tomislav,

Blangiardo and Cameletti (2015) Spatial and Spatio-temporal Bayesian
Models with R - INLA models the Parana state rainfall data (chapter
8). See https://sites.google.com/a/r-inla.org/stbook/ Not kriging but
maybe useful for you.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE
AND FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
[hidden email]
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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2018-04-10 22:26 GMT+02:00 Tomislav Hengl <[hidden email]>:

>
> We are looking for a worked out example of spatiotemporal interpolation
> (using spatiotemporal kriging / regression-kriging or universal kriging) of
> daily precipitation in R. Daily precipitation is a zero-inflated variable so
> using some model based geostatistical solution
> (https://www.jstatsoft.org/article/view/v063i12/v63i12.pdf) is probably not
> an option?
>
> We would like to compare geostatistical interpolation with the spacetime RF:
>
> https://github.com/thengl/GeoMLA#prediction-of-spatio-temporal-variable
>
> thank you,
>
> T. Hengl
> https://orcid.org/0000-0002-9921-5129
>
> _______________________________________________
> R-sig-Geo mailing list
> [hidden email]
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo

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[Virgilio Gómez-Rubio]

Hi,

> Blangiardo and Cameletti (2015) Spatial and Spatio-temporal Bayesian
> Models with R - INLA models the Parana state rainfall data (chapter
> 8). See https://sites.google.com/a/r-inla.org/stbook/ Not kriging but
> maybe useful for you.
>

This is also modeled in the SPDE tutorial http://www.r-inla.org/examples/tutorials/spde-tutorial . Also, I have fitted a space-time model using INLA for the Ireland wind data described in the spacetime vignette. Not really what you want, but you can change the likelihood to a zero-inflated one (INLA provides several of them) if that is what you want…

Best,

Virgilio

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