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Co-kriging when the soil and ancillary data are not co-located

Kerry, R. and Oliver, M. A. (2003) Co-kriging when the soil and ancillary data are not co-located. In: 4th European Conference on Precision Agriculture, Berlin, Germany, pp. 303-308.

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Abstract/Summary

Data such as digitized aerial photographs, electrical conductivity and yield are intensive and relatively inexpensive to obtain compared with collecting soil data by sampling. If such ancillary data are co-regionalized with the soil data they should be suitable for co-kriging. The latter requires that information for both variables is co-located at several locations; this is rarely so for soil and ancillary data. To solve this problem, we have derived values for the ancillary variable at the soil sampling locations by averaging the values within a radius of 15 m, taking the nearest-neighbour value, kriging over 5 m blocks, and punctual kriging. The cross-variograms from these data with clay content and also the pseudo cross-variogram were used to co-krige to validation points and the root mean squared errors (RMSEs) were calculated. In general, the data averaged within 15m and the punctually kriged values resulted in more accurate predictions.

Item Type:Conference or Workshop Item (Paper)
Divisions:Faculty of Science > School of Archaeology, Geography and Environmental Science
Interdisciplinary centres and themes > Soil Research Centre
ID Code:3697
Uncontrolled Keywords:co-kriging aerial photographs soil cross-variogram pseudo cross-variogram
Additional Information:
Publisher:Wageningen Academic Publishers

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