Abstract
There are several forms of kriging, all of them initially formulated for the estimation of a continuous, spatial attribute at an unsampled site, preferably inside the convex hull defined by the location of the data. Figure 2.1 illustrates the case for a two-dimensional point sampling. Although extrapolations outside the convex hull are possible, they are unreliable. This points out a significant difference between kriging and time series analysis wherein the interest lies in predictions beyond the time span containing the data.
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© 1999 Springer Science+Business Media New York
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Olea, R.A. (1999). Simple Kriging. In: Geostatistics for Engineers and Earth Scientists. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5001-3_2
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DOI: https://doi.org/10.1007/978-1-4615-5001-3_2
Publisher Name: Springer, Boston, MA
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