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The gstat S package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions.
Advances in climate and vegetation modelling, prediction and data production and sharing have given greater power to environmental predictions, especially those associated with global warming.
Although methods are available to model coiled coils (Crick, 1953a; Offer et al., 2002; Grigoryan and Degrado, 2011), these only generate the α-helical backbones, which severely limits the modelling, prediction and design of coiled-coil structures.
Currently provided algorithms include Exponentially-weighted Moving Average (EWMA), Gstat (an open source computer code for multivariable geostatistical modelling, prediction and simulation), linear regression, Poisson regression, and the US Centers for Disease Control and Prevention CDCC) Early Aberration Reporting System (EARS versions 1, 2, and 3).
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Results showed suitable match between model prediction and experimental data.
Reasonable agreement between modeling prediction and experiments is obtained.
where R is the model prediction and the set {A i } constitutes the model parameters.
Figure 2 Model prediction and real data for a shorter period of time.
ANN is a good way to handle the problems of modeling, prediction, and control.
There is significant mismatch between the model prediction and diopside dissolution at 175°C.
The outcomes of these studies have important implications for streamflow modeling, prediction, and catchment classification.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com