16 lines
957 B
Plaintext
16 lines
957 B
Plaintext
Gstat is a program for the modelling, prediction and simulation of
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geostatistical data in one, two or three dimensions. Geostatistical
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data are data (measurements) collected at known locations in space,
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from a function (process) that has a value at every location in a
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certain (1, 2 or 3-D) domain. These data (or some transform of them)
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are modelled as the sum of a constant or varying trend and a spatially
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correlated residual. Given a model for the trend, and under some
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stationarity assumptions, geostatistical modelling involves the
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estimation of the spatial correlation. Geostatistical prediction
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(`kriging') is finding the best linear unbiased prediction (the
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expected value) with its prediction error for a variable at a
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location, given observations and a model for their spatial
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variation. Simulation of a spatial variable is the creation of
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randomly drawn realizations of a field given a model for the data,
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possibly conditioned on observations.
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