I'll admit I don't understand kriging to the fullest. Yet, I've read that the weights should add up to 1 as in IDW and Natural Neighbors.
However, surrounding the biggest elevation points of my vector layer, I get some raster cells with greater values.
Answer
There are different types of kriging, which make different assumptions.
Simple kriging assumes a known mean for the total extent and ordinary kriging assume a local mean defined within a radius. With those you should not predict larger values than your largest observed value.
Universal kriging assumes a general polynomial trend model. The polynomial might fit with out of range value (kriging works then on the residues)
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