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Relationship among Crop Grain Yield, Topography, and Soil Electrical Conductivity Studied with Cross-Correlograms

^a Dep. of Crop and Soil Sci., Michigan State Univ., East Lansing, MI 48824-1325
^b Dep. of Crop Sci., Univ. of Illinois, Urbana, IL 61801
^c Agri Business Consultants, 911 Edison Ave., Lansing, MI 48910

View larger version (16K): [in a new window]   Fig. 1. Examples of the experimental cross-correlograms for the data with the same correlation coefficient at zero distance between the samples but with different spatial correlation.

View larger version (17K): [in a new window]   Fig. 2. Determination of the significant spatial correlation between two variables based on the experimental cross-correlogram. SC, parameter characterizing statistically significant spatial correlation between the variables; s(h), a polynomial equation fitted to the minimum significant cross-correlogram values; (h), a polynomial equation fitted to the experimental cross-correlogram values.

View larger version (32K): [in a new window]   Fig. 3. Pearson correlation coefficients between crop yield and (a) apparent electrical conductivity measured at 0- to 30-cm depth (ECs) and (b) apparent electrical conductivity measured at 0- to 90-cm depth (ECd), and SC (parameter characterizing statistically significant spatial correlation between the variables) values for crop yield and (c) ECs and (d) ECd plotted vs. maximum daily March precipitation.