Template:Linear Interpolate to UGrid: Difference between revisions
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===Interpolate to UGrid=== | ===Linear Interpolate to UGrid=== | ||
The ''Interpolate to Ugrid'' tool will interpolate a dataset associated with one UGrid to another UGrid within the same project. | The ''Linear Interpolate 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==== | ====Input Parameters==== | ||
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*''Target grid'' – Select the grid that will be receiving the interpolated dataset. | *''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. | *''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: | *''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. | **"Do not truncate" – Interpolated values will not be truncated. |
Revision as of 15:36, 22 March 2022
Linear Interpolate to UGrid
The Linear Interpolate 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.
- IDW nodal function – Available when using the IDW interpolation method. Select an IDW nodal function method using one of the following:
- "Constant (Shepard's Method)" – The simplest form of inverse distance weighted interpolation. Includes the option to use classic weight function by enter a weighting exponent.
- IDW constant nodal function use classic weight function – Turn on to use the classic weight function.
- IDW constant nodal function weighting exponent – Enter a positive real number to use as the weighting exponent in the weight function used in the constant method.
- "Gradient Plane" – Variation of Shepard's method with nodal functions or individual functions defined at each point
- "Quadratic" – Makes use of quadratic polynomials to constrain nodal functions.
- "Constant (Shepard's Method)" – The simplest form of inverse distance weighted interpolation. Includes the option to use classic weight function by enter a weighting exponent.
- IDW computation of nodal coefficient option –
- "Use nearest points" – Drops distant points from consideration since they are unlikely to have a large influence on the nodal function.
- IDW nodal coefficients number of nearest points
- IDW nodal coefficients use nearest points in each quadrant
- "Use all points"
- "Use nearest points" – Drops distant points from consideration since they are unlikely to have a large influence on the nodal function.
- IDW computation of interpolation weights option
- "Use nearest points" – Drops distant points from consideration since they are unlikely to have a large influence on the interpolation weights.
- IDW interpolation weights number of nearest points
- IDW interpolation weights use nearest points in each quadrant –
- "Use all points"
- "Use nearest points" – Drops distant points from consideration since they are unlikely to have a large influence on the interpolation weights.
- 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
UGrids/Linear Interpolate to Ugrids