作者: A.J.S. Tang , W.H. Chan
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摘要: The use of the Simple Kriging and Universal methods to estimate spatial trend in data is examined. By following approach methods, a new Modified method has been developed for better presentation pattern error estimation. Results comparison indicate that can provide interpolation estimation mathematical functions. Although results practical obtained by using three are quite comparable, estimates greater than those modified one standard deviation confidence belts overlapping each other. This may estimations from too great.The provides greatest among these methods. there no advantages method, further study on proper formula generalized covariance function should be carried out. heart find correct function, since isopleths verymore » sensitive it.« less