Improving the assessment of uncertainty and risk in the spatial prediction of environmental impacts: a new approach for fitting geostatistical model parameters based on dual Kriging in the presence of a trend

J Benndorf; J Menz

doi:10.1007/s00477-013-0777-z

Improving the assessment of uncertainty and risk in the spatial prediction of environmental impacts: a new approach for fitting geostatistical model parameters based on dual Kriging in the presence of a trend

J Benndorf, J Menz

Resource Engineering

Research output: Contribution to journal › Article › Scientific › peer-review

9 Citations (Scopus)

Original language	English
Pages (from-to)	627-637
Number of pages	11
Journal	Stochastic Environmental Research and Risk Assessment
Volume	28
Issue number	3
DOIs	https://doi.org/10.1007/s00477-013-0777-z
Publication status	Published - 2014

Bibliographical note

Harvest

Keywords

CWTS 0.75 <= JFIS < 2.00

Access to Document

10.1007/s00477-013-0777-z

Cite this

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title = "Improving the assessment of uncertainty and risk in the spatial prediction of environmental impacts: a new approach for fitting geostatistical model parameters based on dual Kriging in the presence of a trend",

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language = "English",

volume = "28",

pages = "627--637",

journal = "Stochastic Environmental Research and Risk Assessment",

issn = "1436-3240",

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Improving the assessment of uncertainty and risk in the spatial prediction of environmental impacts: a new approach for fitting geostatistical model parameters based on dual Kriging in the presence of a trend. / Benndorf, J; Menz, J.
In: Stochastic Environmental Research and Risk Assessment, Vol. 28, No. 3, 2014, p. 627-637.

Research output: Contribution to journal › Article › Scientific › peer-review

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T1 - Improving the assessment of uncertainty and risk in the spatial prediction of environmental impacts: a new approach for fitting geostatistical model parameters based on dual Kriging in the presence of a trend

AU - Benndorf, J

AU - Menz, J

N1 - Harvest

PY - 2014

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KW - CWTS 0.75 <= JFIS < 2.00

U2 - 10.1007/s00477-013-0777-z

DO - 10.1007/s00477-013-0777-z

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JO - Stochastic Environmental Research and Risk Assessment

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