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Can Topographical and Yield Data Substantially Improve Total Soil Carbon Mapping by Regression Kriging?

^a Dep. of Crop and Soil Sciences, Michigan State Univ., East Lansing, MI 48824-1325
^b W.K. Kellogg Biological Station and Dep. of Crop and Soil Sciences, Michigan State Univ., Hickory Corners, MI 49060-9516

View larger version (22K): [in this window] [in a new window]   Fig. 1. Percentage of relative improvement in RMSE from using regression kriging over ordinary kriging as a function of the strength of correlation between primary and secondary variables expressed as R2, and the strength of the spatial correlation of the primary variable expressed as the nugget/sill ratio. The results were obtained based on the simulated data sets.

View larger version (18K): [in this window] [in a new window]   Fig. 2. Values of R2 for (a) multiple regression of total C with topography and (b) for simple regression of total C with 7-yr average standardized yield plotted vs. the nugget to sill (N/S) ratio of the total C variograms in the 12 studied plots.