I am working on an rainfall analysis and I have to interpolate some datas with kriging method.
Is co-kriging suitable for the rainfall analysis?
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1Welcome to gis.stackexchange! Please note that a good question is expected to include proof of basic research effort and - if applicable - code so far. Questions requesting code or instructions to copy&paste are generally not well received.– underdark ♦Jul 22, 2013 at 14:41
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Actually, I researched and I found kriging is best for me.However, which method of kriging I should use is little confusing– rblerkJul 22, 2013 at 14:47
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2 Answers
For reliable methods, I would do a literature review to find the best option given your time, resources and questions you are trying to accomplish.
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intresting paper. After quick look at the data table, I noticed a low correlation between the rainfall and the elevation, especially for the summer months. My initial thought would be that there is some kind of noise in the initial dataset. Can that be the case?– nickvesNov 3, 2013 at 20:40
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1I'd say summer has less correlation due to local precipitation from convective cells, like thunder storms, which are less related to elevation.– Mike TNov 3, 2013 at 20:54
Co kringing needs another variable (the covariable), example - for rainfall, it could be the elevation. The best one to start its ordinary kriging.
answered Oct 3, 2013 at 17:58
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3Ordinary kriging is known to be bad for rainfall because rainfall is controlled strongly by topography and other factors. Co-kriging is one attractive option because those other factors can be brought into the analysis. Thus I have to disagree with this answer, which in other applications might otherwise be good advice.– whuberNov 3, 2013 at 23:19