Universal Kriging and Cokriging as a Regression Procedure

Stein, Alfred; Corsten, L. C. A.

doi:10.2307/2532147

Cited by 182 publications

(75 citation statements)

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“…The soil pH data may vary severely within a short horizontal distance, so it is difficult to interpolate accurately using HASM when we ignore such obvious environmental features. This problem is equally true with kriging, and auxiliary variables can be used in several ways, such as in co-kriging, stratified kriging and regression kriging, which are well-known in soil science (Stein et al, 1988;Stein and Corsten, 1991;Knotters et al, 1995;Odeh et al, 1995). Similarly, HASM can also incorporate with some secondary variables to improve the interpolation efficiency.…”

Section: Discussionmentioning

confidence: 99%

“…Regionalized variable theory (Matheron, 1963) has been applied successfully to soil property interpolation for nearly 30 years (Burgess and Webster, 1980;Stein and Corsten, 1991;Goovaerts, 1999;Hengl et al, 2004;Triantafilis et al, 2004). The theory provides a convenient summary of soil variability (in the form of a semi-variogram) and an interpolation technique which is kriging (Laslett et al, 1987;Goovaerts, 1999).…”

Section: Introductionmentioning

confidence: 99%

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Surface modelling of soil pH

Shi

Liu

et al. 2009

Geoderma

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Surface modelling of soil pH

Shi

Liu

et al. 2009

Geoderma

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“…Geostatistical methods can be used with unbiased prediction and minimum variance for soil properties of interest (Stein and Corsten, 1991;Sun et al, 2012). Kriging is a commonly used geostatistical prediction method.…”

Section: Geostatistical Analysismentioning

confidence: 99%

Spatial characteristics of cadmium in topsoils in a typical e-waste recycling area in southeast China and its potential threat to shallow groundwater

Luo

Deng

et al. 2014

Science of The Total Environment

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• We characterize the Cd total in topsoils, pH and SOM in a typical e-waste recycling area.• The relationships between Cd total in topsoils, pH, and SOM were studied.• Impact of topsoil Cd accumulation and acidification on shallow groundwater quality was evaluated. Informal electrical and electronic waste (e-waste) recycling often creates secondary sources of cadmium (Cd) pollution. To characterize the total Cd concentration (Cd total ) in topsoil and evaluate the threat of Cd in topsoils to shallow groundwater, 187 topsoil samples and 12 shallow groundwater samples were collected in a typical e-waste recycling area in southeast China. Soil organic matter content, soil pH and Cd total in topsoil, pH and dissolved Cd concentration in shallow groundwater were measured. Cd total in the topsoils showed an inverse distribution trend with soil pH in that high Cd concentrations (and low pH values) were found in the surrounding area of the metal recycling industrial park where there were many family-operated e-waste recycling facilities before the industrial park was established and with low concentrations (and high pH values) in other areas, and they had similar spatial correlation structures. Cd accumulation and acidification were synchronous in topsoils, and soil pH was significantly correlated with Cd total in topsoils with low to moderate negative correlation coefficient (r = −0.24), indicating that both of them maybe correlated with informal recycling. The shallow groundwater in the surrounding area of the metal recycling industrial park was seriously contaminated by Cd, and topsoil Cd accumulation and acidification in the surrounding area of e-waste recycling sites significantly increase the risk of shallow groundwater contaminated by Cd. Action is urgently required to control Cd accumulation and acidification by improving the recycling operations of e-wastes in order to reduce the risk of Cd leaching from topsoils and shallow groundwater contamination. a b s t r a c t a r t i c l e i n f o

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“…Several interpolators, such as kriging (Stein et al, 1988;Stein and Corsten, 1991;Goovaerts, 1999;Webster and Oliver, 2001), inverse distance weighting (IDW) (Weber and Englund, 1992;Weber and Englund, 1994;Gotway et al, 1996;Panagopoulos et al, 2006) and splines (Webster and Oliver, 2001), can be used for the estimation of the spatial distributions of soil properties, and each one has its own limitations (Shi et al, 2009;Shi et al, 2011;Shi et al, 2012). Some previous studies about soil antibiotics showed that the distributions of antibiotic residues in soil follow a spatial stratification pattern in the east of China (Xie et al, 2012), so the spatial predictions of soil antibiotics are more difficult than other soil properties due to the diverse sources of soil antibiotics.…”

Section: Introductionmentioning

confidence: 99%