Chapter 14 Designing Spatial Coverage Samples Using the k-means Clustering Algorithm

Developments in Soil Science

Volumn 31, Issue C, 2006, Pages 183-192

  Brus, D J ^a   de Gruijter, J J ^a   van Groenigen, J W ^a  

^a NONE

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Indexed keywords

EID: 33846885564     PISSN: 01660918     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0166-2481(06)31014-8     Document Type: Review

References (8)

1. Brus D.J., Spätjens L.E.E.M., and de Gruijter J.J. A sampling scheme for estimating the mean extractable phosphorus concentration of fields for environmental regulation. Geoderma 89 (1999) 129-148
2. Genstat Committee. The guide to GenStat (2000), VSN International, Oxford
3. Hartigan J.A. Clustering Algorithms (1975), Wiley, New York
4. Müller W.G. Collecting Spatial Data: Optimum Design of Experiments for Random Fields. 2nd ed (2001), Physica-Verlag, New York
5. Royle J.A., and Nychka D. An algorithm for the construction of spatial coverage designs with implementation in S plus. Comp. Geosci. 24 (1998) 479-488
6. Sacks J., and Schiller S. Spatial designs. In: Gupta S.S., and Berger J.O. (Eds). Statistical Decision Theory and Related Topics IV Vol. 2 (1988), Springer-Verlag, New York 385-399
7. Van Groenigen J.W., and Stein A. Constrained optimization of spatial sampling using continuous simulated annealing. J. Environ. Qual. 27 (1998) 1078-1086
8. Van Groenigen J.W., Siderius W., and Stein A. Constrained optimisation of soil sampling for minimisation of the kriging variance. Geoderma 87 (1999) 239-259