首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Efficiency of kriging estimation for square, triangular, and hexagonal grids
Authors:Evangelos A Yfantis  George T Flatman and Joseph V Behar
Institution:(1) University of Nevada Las Vegas, 89114 Las Vegas, Nevada, USA;(2) Environmental Monitoring Systems Laboratory, U.S. Environmental Protection Agency, 89114 Las Vegas, Nevada, USA
Abstract:Although several researchers have pointed out some advantages and disadvantages of various soil sampling designs in the presence of spatial autocorrelation, a more detailed study is presented herein which examines the geometrical relationship of three sampling designs, namely the square, the equilateral triangle, and the regular hexagon. Both advantages and disadvantages exist in the use of these designs with respect to estimation of the semivariogram and their effect on the mean square error or variance of error. This research could be used to design optimal sampling strategies; it is based on the theory of regionalized variables, in which the intrinsic hypothesis is satisfied. Among alternative designs, an equilateral triangle design gives the most reliable estimate of the semivariogram. It also gives the minimum maximum mean square error of point estimation of the concentration over the other two designs for the same number of measurements when the nugget effect is small relative to the variance. If the nugget effect is large (.90 sgr 2 or more), and the linear sampling density is >0.85r where r is the range, the hexagonal design is best. This study computes and compares the maximum mean square error for each of these designs.
Keywords:geostatistics  intrinsic hypothesis  regionalized variables  sampling  spherical semivariogram
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号