Template:Linear Interpolation to UGrid: Difference between revisions

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(Created page with "===Linear Interpolation to UGrid=== The ''Linear Interpolation to Ugrid'' tool will use the linear interpolation method to interpolate a dataset associated with one UGrid to another UGrid within the same project. ====Input Parameters==== *''Source dataset'' – Select the dataset that will be used for interpolation. *''Target grid'' – Select the grid that will be receiving the interpolated dataset. *''Target dataset location'' – Indicates if the dataset...")
 
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====Current Location in toolbox====  
====Current Location in toolbox====  
Unstructured Grids/Linear Interpolation to Ugrids
Datasets/Linear Interpolation to Ugrids
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Revision as of 19:43, 31 January 2023

Linear Interpolation to UGrid

The Linear Interpolation to Ugrid tool will use the linear interpolation method to interpolate a dataset associated with one UGrid to another UGrid within the same project.

Input Parameters

  • Source dataset – Select the dataset that will be used for interpolation.
  • Target grid – Select the grid that will be receiving the interpolated dataset.
  • Target dataset location – Indicates if the dataset should be interpolated to the either the "Points" or the center of each "Cell" of the target grid.
  • Truncate interpolated values option – The interpolated values can be limited by using one of the following truncation options:
    • "Do not truncate" – Interpolated values will not be truncated.
    • "Truncate to min/max of source dataset" – Interpolated values will be restricted to the minimum and maximum values in the source dataset.
    • "Truncate to specified min/max" – Interpolated values will be restricted to a define minimum and maximum value.
      • Truncate range minimum – Define the minimum value for truncating.
      • Truncate range maximum – Define the maximum value for truncating.
  • Extrapolation option – Although they are referred to as interpolation schemes, most of the supported schemes perform both interpolation and extrapolation. That is, they can estimate a value at points both inside and outside the convex hull of the scatter point set. Obviously, the interpolated values are more accurate than the extrapolated values. Nevertheless, it is often necessary to perform extrapolation. Some of the schemes, however, perform interpolation but cannot be used for extrapolation. These schemes include Linear and Clough-Tocher interpolation. Both of these schemes only interpolate within the convex hull of the scatter points. Interpolation points outside the convex hull are assigned the default extrapolation value.
Select one of the following extrapolation options:
  • "No extrapolation" – Extrapolation will not be performed.
  • "Constant value" – Extrapolation will use a constant value.
    • Extrapolation constant value – Set the constant value that will be used for extrapolation.
  • "Inverse distance weighted (IDW)"
    • Extrapolation IDW interpolation weights computation option
    • Extrapolation IDW number of nearest points
    • Extrapolation IDW use nearest points in each quadrant
  • "Existing dataset" – Allows designating an existing dataset to define the extrapolation values.
    • Existing dataset – Select a dataset in the project to use for extrapolation values.

Output Parameters

The output will create an interpolated dataset on the target grid.

Current Location in toolbox

Datasets/Linear Interpolation to Ugrids