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Processing of conventional soil survey data using geostatistical methods

Author

Listed:
  • V. Penížek

    (Czech University of Agriculture in Prague, Czech Republic)

  • L. Borůvka

    (Czech University of Agriculture in Prague, Czech Republic)

Abstract

The aim of this study is to find a suitable treatment of conventional soil survey data for geostatistical exploitation. Different aims and methods of a conventional soil survey and the geostatistics can cause some problems. The spatial variability of clay content and pH for an area of 543 km2 was described by variograms. First the original untreated data were used. Then the original data were treated to overcome the problems that arise from different aims of conventional soil survey and geostatistical approaches. Variograms calculated from the original data, both for clay content and pH, showed a big portion of nugget variability caused by a few extreme values. Simple exclusion of data representing some specific soil units (local extremes, non-zonal soils) did not bring almost any improvement. Exclusion of outlying values from the first three lag classes that were the most influenced due to a relatively big portion of these extreme values provided much better results. The nugget decreased from pure nugget to 50% of the sill variability for clay content and from 81 to 23% for pH.

Suggested Citation

  • V. Penížek & L. Borůvka, 2004. "Processing of conventional soil survey data using geostatistical methods," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 50(8), pages 352-357.
    • Handle: RePEc:caa:jnlpse:v:50:y:2004:i:8:id:4043-pse
    DOI: 10.17221/4043-PSE
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