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inna [77]
3 years ago
12

In variogram modeling with multiple variables and anisotropy, if all the variograms cannot be modeled well, it is critical to mo

del the cross variograms well while the other models can be sacrificed somewhat?
Mathematics
1 answer:
siniylev [52]3 years ago
6 0

Answer:

The statement is false.

Step-by-step explanation:

If the modeling is with multiple variables it is necessary for all the variables to be modeled well such that the criticality of the model is dependent on all the variograms. It is not dependent on the cross variograms only.

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Answer:

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Step-by-step explanation:

By  gradient, if you mean the "slope" of the linear function, then you have to find two points of the graph and use the "rise over run strategy". Given two coordinates, (x1, y1) and (x2, y2) of a linear function in the form y=mx+b, the slope of the line is (y2-y1)/(x2-x1). This shows the amount of "rise", or the vertical change, and the amount of "run", which is the horizontal change. Rise/Run gives the steepness of the line. The slope can also be modeled by Δy/Δx, which is the change in y over the change in x

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2 years ago
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We will have the following:

\begin{gathered} 192400=A(1+\frac{0.0536}{2})^{(11/12)(2)}\Rightarrow A=\frac{192400}{(1+0.0536/2)^{(11/12)(2)}} \\  \\ \Rightarrow A=183293.7505...\Rightarrow A\approx18329375 \end{gathered}

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Answer:

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3 years ago
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