wip/gstat 2.4.3nb2 NetBSD

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