Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 61448
Title Constrained optimisation of soil sampling for minimisation of the kriging variance
Author(s) Groenigen, J.W. van; Siderius, W.; Stein, A.
Source Geoderma 87 (1999). - ISSN 0016-7061 - p. 239 - 259.
DOI https://doi.org/10.1016/S0016-7061(98)00056-1
Department(s) Laboratory of Soil Science and Geology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 1999
Keyword(s) grondanalyse - bemonsteren - ruimtelijke variatie - geostatistiek - soil analysis - sampling - spatial variation - geostatistics
Categories Soil Science (General)
Abstract This paper introduces the extended Spatial Simulated Annealing (SSA) method to optimise spatial sampling schemes for obtaining the minimal kriging variance. Sampling schemes are optimised at the point level. Boundaries and previous observations can be taken into account. This procedure extends ordinary SSA which focuses entirely on variogram estimation and even distribution of observations over the area. We applied it to texture and phosphate content on a river terrace in Thailand. First, sampling was conducted for estimation of the variogram using ordinary SSA. The variograms thus obtained were used in extended SSA, yielding a reduction of the mean kriging variance of the sand percentage from 28.2 to 23.7(%)2. The variograms were used subsequently in a geomorphologically similar area. Optimised sampling schemes for anisotropic variables differed considerably from those for isotropic ones. The schemes were especially efficient in reducing high values of the kriging variance near boundaries of the area.
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