作者: L. De Cesare , D.E. Myers , D. Posa
DOI: 10.1016/S0098-3004(01)00040-1
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摘要: Modified GSLIB FORTRAN 77 routines are given in this paper for estimating and modeling space-time variograms. Two general families of models incorporated the programs: these product model product-sum model, both based on decomposition covariance terms a space time covariance. The kriging program has also been modified to incorporate models. One programs detects removes temporal periodicities data. them generates residuals all monitoring stations, order estimate spatial-temporal variogram using residuals. allows use cross-validation conjunction with fitting trend component residual can be used prediction. To illustrate programs, hourly averages NO2 first ten months 1998 Lombardy were used.