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Fig. 10.16 Co-simulation using Gaussian variables
approaches zero, but care should be taken not to produce
classes with few data in the transformed secondary condi-
tional distributions.
2. Another aspect to consider is that SCT is sensitive to out-
liers. Extensive exploratory data analysis is recommend-
ed, and data cleaning or capping may be necessary.
3. The order in which the transform is performed is conse-
quential. The choice of primary variable should be made
based on which one has the most data; if both variables
have similar number of samples then choose as primary
the most continuous variable.
The stepwise conditional transformation ensures that the
transformed variables, taken together, are multivariate
Gaussian with zero correlation. Thus, conventional Gaussian
simulation techniques can be applied with no requirement for
cokriging or to fit a model of coregionalization. The correla-
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