Abstract：Definition of shift form and parameters of residual variation function is very time-comsurning and difficult in universal Kriging interpolation of super-giant data volume.The paper presented a method that picking characteristic subset used for evaluating the parameters of residual variation function under triangulation;the inclusion relation between trigon and all data points can be defined only once in a process of triangulation,which can use for fast retrieval of data points in an adjacent domain of non-interpolated points;times of shift polynomial can be defined by rnulti-element progressive regression,combining moment method with maximum likelihood of approximation to evaluate parameters of residual variation function,all these together can better solve the problem. Finally,the application cases are given in the paper.
牛文杰, 杨钦. 超大数据体泛克里金插值的研究[J]. 石油地球物理勘探, 2001, 36(6): 672-679.
Niu Wenjie, Yang Qin. Study of universal Kriging interpolation for super-giant data volume. OGP, 2001, 36(6): 672-679.
