Titlebook: Basic Steps in Geostatistics: The Variogram and Kriging; Margaret A. Oliver,Richard Webster Book 2015 The Author(s) 2015 Field sampling.Kr

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mastopexy

偽善

The Variogram and Modelling,ograms are usually computed by the method of moments at a sequence of lags, and one or more ‘a(chǎn)uthorized’ functions are fitted to them. A variogram may be computed along transects or on grids at regular intervals or in bins from irregularly scattered data. Accuracy of the variogram depends on the siz

施加

Geostatistical Prediction: Kriging,rediction error variances are minimized. It is in practice a weighted moving average in which the weights depend on the variogram and the configuration of the sample points within the neighbourhood of its targets. Ordinary kriging is by far the most popular method, partly because it is robust with r

性滿足

Sampling, is problematic because the spatial scale of variation is often unknown, yet there must be numerous pairs of sampling points within the correlation range, if it exists. One might determine the spatial scale from visible features such as landforms and vegetation on the ground or from remote sensing.

抑制

Dealing with Trend,ly of a random variable. The assumption of stationarity no longer holds. An experimental variogram that increases with ever increasing gradient as the lag distance increases is usually symptomatic of trend. In these circumstances the process should be modelled as a combination of a deterministic tre

微枝末節(jié)

Basic Steps in Geostatistics: The Variogram and Kriging

嚴重傷害

殘廢的火焰

Jonathan C. Beard,Joshua Randall kriging are also illustrated. A solution for back-transformation to the original scale is given for lognormal kriging. Punctual kriging can be used to identify suitable variogram models from the diagnostic statistics of ‘leave-one-out’ cross-validation.

Nonconformist

Julian Kunkel,Jay Lofstead,Colin McMurtrieome tolerable kriging error is met but never exceeded. Alternatively, if the budget for sampling is set the kriging equations can be solved to determine the kriging errors everywhere within the region of interest and in particular the maximum absolute error.