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Automatic variogram model fitting of a variogram map based on the Fourier integral method
Computers and Geosciences, 2021Abstract One of the cornerstones of geostatistics is the variogram. Fitting a variogram model to observed data is certainly one of the routine tasks in daily geostatistics practice. The central role of the variogram and the difficulty of performing variogram modeling manually call for an automatic, or at least a computer-assisted, method.
Paulo Roberto Moura de Carvalho
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Calculation of Uncertainty in the Variogram
Mathematical Geology, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ortiz C., Julián, Deutsch, Clayton V.
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Variance–Covariance Matrix of the Experimental Variogram: Assessing Variogram Uncertainty
Mathematical Geology, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pardo-Iguzquiza, E., Dowd, P.
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Residual diagnostics for variogram fitting
Computers & Geosciences, 2004The variogram cloud is increasingly employed in geostatistics both as an exploratory tool as well as for variogram fitting. Unfortunately in its pure form the variogram cloud cannot be effectively used to assess the fit of a corresponding parametric variogram model. This is due to the fact that its entries are highly correlated and heteroscedastic (and
Ernst Glatzer, Werner G. Müller
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Efficient variography with partition variograms
Computers & Geosciences, 2019Abstract Directional variograms were introduced in geostatistics as a tool for revealing major directions of correlation in spatial data. However, their estimation presents some practical challenges, particularly in the case of large irregularly-sampled data sets where efficient spectral-based estimation methods are not applicable.
Júlio Hoffimann, Bianca Zadrozny
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On Variograms in Point Process Statistics
Biometrical Journal, 1996AbstractVariograms, which are frequently used in geostatistics, are of value also in the statistics of marked point processes. When the marks come from a random field which is independent of the point process, ideas of geostatistics suffice for the interpretation of point process variograms.
Wälder, Olga, Stoyan, Dietrich
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Australian Journal of Statistics, 1990
SummaryIn time series texts and journals, variograms are mentioned seldom, if at all. The autocovariance function is preferred. However there are situations where the variogram can be estimated with moderate precision but the autocovariance function cannot, because the variance of the process is not well known.
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SummaryIn time series texts and journals, variograms are mentioned seldom, if at all. The autocovariance function is preferred. However there are situations where the variogram can be estimated with moderate precision but the autocovariance function cannot, because the variance of the process is not well known.
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Chromatin pattern by variogram analysis
Microscopy Research and Technique, 1997Many cytological processes such as cell proliferation, differentiation, transformation, apoptosis, etc., are accompanied by specific chromatin changes, usually identified on the basis of the relative content of euchromatin and heterochromatin. In order to achieve a quantitative, non-subjective evaluation of the chromatin pattern, two different ...
DIAZ, GIACOMO +3 more
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2015
Accurate estimates of variograms are needed for reliable prediction by kriging and subsequent mapping and for optimizing sampling schemes. Sample variograms are usually computed by the method of moments at a sequence of lags, and one or more ‘authorized’ functions are fitted to them.
Margaret A. Oliver, Richard Webster
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Accurate estimates of variograms are needed for reliable prediction by kriging and subsequent mapping and for optimizing sampling schemes. Sample variograms are usually computed by the method of moments at a sequence of lags, and one or more ‘authorized’ functions are fitted to them.
Margaret A. Oliver, Richard Webster
openaire +1 more source