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44 lines
3.9 KiB
HTML
44 lines
3.9 KiB
HTML
<html>
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<head><link rel="stylesheet" type="text/css" href="help.css" /></head>
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<body>
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<h1 class='module'>Universal Kriging (Global)</h1>
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<div class='author'>(c) 2003 by O.Conrad</div>
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<div class='description'>Universal Kriging for grid interpolation from irregular sample points.<br/>
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This implementation does not use a maximum search radius. The weighting matrix is generated globally for all points.</div>
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<h2>Parameters</h2>
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<dl class='parameters'>
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<dt>Grid <div class='type'>Output Data Object</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Variance <div class='type'>Output Data Object</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Points <div class='type'>Input Shapes</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Attribute <div class='type'>Table field</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Create Variance Grid <div class='type'>Boolean</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Target Grid <div class='type'>Choice</div></dt><dd> <div class='constraints'>Available choices: user defined, grid system, grid</div></dd>
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<dt>Variogram Model <div class='type'>Choice</div></dt><dd> <div class='constraints'>Available choices: Spherical Model, Exponential Model, Gaussian Model, Linear Regression, Exponential Regression, Power Function Regression</div></dd>
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<dt>Block Kriging <div class='type'>Boolean</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Block Size <div class='type'>Floating point</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Logarithmic Transformation <div class='type'>Boolean</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Nugget <div class='type'>Floating point</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Sill <div class='type'>Floating point</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Range <div class='type'>Floating point</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Additional Parameters <div class='type'>Node</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Linear Regression <div class='type'>Floating point</div></dt><dd>Parameter B for Linear Regression:
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y = Nugget + B * x <div class='constraints'></div></dd>
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<dt>Exponential Regression <div class='type'>Floating point</div></dt><dd>Parameter B for Exponential Regression:
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y = Nugget * e ^ (B * x) <div class='constraints'></div></dd>
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<dt>Power Function - A <div class='type'>Floating point</div></dt><dd>Parameter A for Power Function Regression:
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y = A * x ^ B <div class='constraints'></div></dd>
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<dt>Power Function - B <div class='type'>Floating point</div></dt><dd>Parameter B for Power Function Regression:
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y = A * x ^ B <div class='constraints'></div></dd>
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<dt>Grids <div class='type'>Input Grid list</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Grid Interpolation <div class='type'>Choice</div></dt><dd> <div class='constraints'>Available choices: Nearest Neighbor, Bilinear Interpolation, Inverse Distance Interpolation, Bicubic Spline Interpolation, B-Spline Interpolation</div></dd>
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<dt>Grid Size <div class='type'>Floating point</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Fit Extent <div class='type'>Boolean</div></dt><dd>Automatically fits the grid to the shapes layers extent. <div class='constraints'></div></dd>
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<dt>X-Extent <div class='type'>Value range</div></dt><dd> <div class='constraints'>Minimum: 1.66358385096e-316; Maximum: 1.66353246813e-316</div></dd>
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<dt>Y-Extent <div class='type'>Value range</div></dt><dd> <div class='constraints'>Minimum: 1.66369768369e-316; Maximum: 1.66365973944e-316</div></dd>
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<dt>Grid System <div class='type'>Grid system</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Grid System <div class='type'>Grid system</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Grid <div class='type'>Input Grid</div></dt><dd> <div class='constraints'></div></dd>
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<dt>Variance <div class='type'>Input Grid</div></dt><dd> <div class='constraints'></div></dd>
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</dl>
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</body></html>
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