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Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties

^a Dep. of Environmental Sciences, Univ. of California, Riverside, CA 92521
^b USDA-ARS Hydrology and Remote Sensing Lab., 10300 Baltimore Ave., Bldg. 007, BARC-West, Beltsville, MD 20705
^c USDA-ARS Environmental Microbial Safety Lab., Powder Mill Road, Bldg. 173, BARC-East, Beltsville, MD 20705

View larger version (80K): [in a new window]   Fig. 1. Three-dimensional representation of the relationship between the number of selected neighbors, the p term used in weighing the selected neighbors and the obtained average root-mean-squared residuals, using 1600 soils for each replicate of estimations.

View larger version (23K): [in a new window]   Fig. 2. Two-dimensional representation of the sensitivity of the k-NN technique to suboptimal settings in the number of selected neighbors and the p term used in weighing the selected neighbors (a) absolute and (b) relative, using 1600 soils for each replicate of estimations.

View larger version (22K): [in a new window]   Fig. 3. Effect of data set size on (a) the optimal choice of the number of selected neighbors, and (b) the p term used in weighing the selected neighbors.