||Evaluation and Comparison of Spatial Interpolators.
Weber, D. ;
Englund, E. ;
||Environmental Monitoring Systems Lab., Las Vegas, NV. ;Nevada Univ., Las Vegas. Environmental Research Center.
Waste management ;
Study estimates ;
Spatial distribution ;
Statistical analysis ;
Site surveys ;
Soil contamination ;
Inverse distance algorithms
||Some EPA libraries have a fiche copy filed under the call number shown.
||The study evaluates 15 different estimators to determine their relative merits in estimating block concentrations at contaminant waste sites. The evaluation was based on 54 subsets of data drawn from an exhaustive set of 19,800 data. For each subset, 198 block estimates were made with each estimator. The measurements of estimation quality were a linear loss function and a more standard statistic, the mean square error. The linear loss function showed that seven of the estimators produced scores close enough to be within the same statistical population. Results based on the mean square error were similar. The surprising results of the study were that inverse distance and inverse distance squared both produced better scores than kriging. (Copyright (c) 1992 International Association for Mathematical Geology.)
||Pub. in Mathematical Geology, v24 n4 p381-391 1992. Prepared in cooperation with Nevada Univ., Las Vegas. Environmental Research Center.
|NTIS Title Notes
||Reprint: Evaluation and Comparison of Spatial Interpolators.
||PC A03/MF A01