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Yes, it is appropriate. Prediction by kriging can theoretically only get better when you bring in more correlated information, and that is what you do when moving from kriging to co-kriging. In practice, the gain can be disappointing, considering the effort it takes. There can also be other reasons to favor co-kriging. An example is when you need the ...


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A data requirement like the one you have outlined requires either a series geostationary satellites, or modeled data based on an amalgamation of data sources. Geostationary satellite: Your best bet would be the Meteosat MSGs. Working with this data is not the easiest task in the world, and accessing data is not easy either. For research projects, this data ...


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Check this site http://www.worldclim.org/. The raster resolution is ~1km (30 arc-seconds).



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