Template:Interpolate to UGrid

Interpolate to UGrid

The Interpolate to Ugrid tool will 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.
• Interpolation method – The following interpolation methods are supported:
  • "Linear" – Uses data points that are first triangulated to form a network of triangles.
  • "Inverse Distance Weighted (IDW)" – Based on the assumption that the interpolating surface should be influenced most by the nearby points and less by the more distant points.
  • "Natural Neighbor" – Based on the Thiessen polygon network of the point data.
• Interpolation dimension –
• Truncate interpolated values option –
• Truncate range minimum
• Truncate range maximum
• IDW nodal function
• IDW constant nodal function use classic weight function
• IDW computation of nodal coefficient option
• IDW nodal coefficients number of nearest points
• IDW nodal coefficients use nearest points in each quadrant
• IDW computation of interpolation weights option
• IDW interpolation weights number of nearest points
• IDW interpolation weights use nearest points in each quadrant
• Extrapolation option
• Extrapolation constant value
• Extrapolation IDW interpolation weights computation option
• Extrapolation IDW number of nearest points
• Extrapolation IDW use nearest points in each quadrant
• Existing dataset
• Clough-Tocher
• Specify anisotropy – Sometimes the data associated with a scatter point set will have directional tendencies. The horizontal anisotropy, Azimuth, and Veritcal anistropy allows taking into account these tendencies.
• Log interpolation – When interpolating chemical data, it is not uncommon to have a small "hot spot" somewhere in the interior of the data where the measured concentrations are many orders of magnitude higher than the majority of the other concentrations. In such cases, the large values dominate the interpolation process and details and variations in the low concentration zones are obliterated. One approach to dealing with such situations is to use log interpolation. If this option is selected, GMS takes the log of each data value in the active scatter point set prior to performing interpolation. By interpolating the log of the dataset, small values are given more weight than otherwise. Once the interpolation is finished, GMS takes the anti-log (10^x) of the interpolated dataset values before assigning the dataset to the target grid or mesh.

Note that it is impossible to take the log of a zero or negative value. When the log interpolation option is turned on, a value must be entered to assign to scatter points where the current data value is less than or equal to zero. Typically, a small positive number should be used.

Current Location in toolbox

UGrids/Interpolate to Ugrids