[R-sig-Geo] Worked out example of spatiotemporal interpolation of daily precipitation?

[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
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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2018-04-10 22:26 GMT+02:00 Tomislav Hengl <tom.hengl at gmail.com>:
>
> 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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