Using the power of information of sparse data for soil improvement management

@inproceedings{Schnabel2002UsingTP,
  title={Using the power of information of sparse data for soil improvement management},
  author={U. Schnabel and O. Tietje and R. Scholz},
  year={2002}
}
  • U. Schnabel, O. Tietje, R. Scholz
  • Published 2002
  • Geography
  • 2 Introduction 2 Data 4 Methods 7 Analysis of spatial dependency 7 Ordinary Kriging 8 Conditional Simulation 10 Uncertainty Assessment 11 Results 15 Spatial Estimation 15 Uncertainty Assessment 17 Consequences 19 Conclusion 20 Uncertainty Estimation 20 Decision Relevance 21 Acknowledgements 22 References 23 1 Working Group: Environmental Decision-Making, Environmental Evaluation and Modeling Ute Schnabel, Olaf Tietje, & Roland W. Scholz 2 July 2002 Abstract For a sustainable management of… CONTINUE READING
    5 Citations

    Figures and Tables from this paper

    References

    SHOWING 1-10 OF 139 REFERENCES
    A comparative study of interpolation methods for mapping soil properties
    • 258
    • PDF
    Delineation of Hazardous Areas and Additional Sampling Strategy in Presence of a Location-Specific Threshold
    • 5
    Evaluating the probability of exceeding a site-specific soil cadmium contamination threshold
    • 149
    • Highly Influential
    Statistical and spatial assessment of soil heavy metal contamination in areas of poorly recorded, complex sources of pollution
    • A. Korre
    • Environmental Science, Mathematics
    • 1999
    • 34
    Geostatistical modelling of uncertainty in soil science
    • 428
    • Highly Influential
    • PDF
    Assessing the risk of soil contamination in the Swiss Jura using indicator geostatistics
    • 108
    • PDF
    Mapping heavy metals in polluted soil by disjunctive kriging.
    • 107