I would like to apply kriging with a set of Heavy metals belgian data.
But I got duplicate location :
length(clean.donnees.Ni@coords) [1] 5740 length(unique(clean.donnees.Ni@coords)) [1] 5186
I can apply the sp::zerodist function to remove the duplicated location, but instead I would like to take the mean of those points to keep a better dataset. Does it exist such method ?
sp::zerodist
I found this topic about the subject in another forum, but there is still no answer : spatial statistics - Dealing with duplicate locations kriging - a method for replacing with a single location taking the mean of the duplicates? (R) - Geographic Information Systems Stack Exchange
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