FORTRAN programs for space-time modeling
FORTRAN programs for space-time modeling
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DOI：
10.1016/s0098-3004(01)00040-1
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发表时间：
2002-03-01
影响因子：
4.4
通讯作者：
Posa, D
中科院分区：
文献类型：
--
作者：
De Cesare, L;Myers, DE;Posa, D
本文给出了改进的GSLIB FORTRAN 77程序来估计和建模时空变量。在程序中包含了两类一般的模型：乘积模型和乘积和模型。两者都是基于空间协方差和时间协方差对时空协方差的分解。GSLIB克里格计划也进行了修改，以纳入这些时空模型。其中一个程序检测和删除数据中的时间周期性。该程序将它们移除并为所有监测站生成残余物。利用残差对时空变异函数进行估计和建模。改进的克里格程序还允许使用交叉验证与时空变异函数模型的拟合。趋势分量和残差变差模型可用于预测。为了说明这些程序的使用情况，我们使用了伦巴第1998年前10个月的二氧化氮每小时平均值。(C) 2002 Elsevier Science Ltd.版权所有。
Modified GSLIB FORTRAN 77 routines are given in this paper for estimating and modeling space-time variograms. Two general families of models are incorporated in the programs: these are the product model and the product-sum model. both based on the decomposition of the space-time covariance in terms of a space covariance and a time covariance. The GSLIB kriging program has also been modified to incorporate these space-time models. One of the programs detects and removes temporal periodicities in the data. The program removes them and generates residuals for all monitoring stations. in order to estimate and model the spatial-temporal variogram using residuals. The modified kriging program also allows the use of cross-validation in conjunction with fitting of space-time variogram models. The trend component and the residual variogram model can be used for prediction. To illustrate the use of the programs, hourly averages of NO2 for the first ten months of 1998 in Lombardy were used. (C) 2002 Elsevier Science Ltd. All rights reserved.