Template:GMS 3D Interpolation Methods: Difference between revisions
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*[[GMS:Inverse Distance Weighted|Inverse Distance Weighted Interpolation]] – Based on the assumption that the interpolating surface should be influenced most by the nearby points and less by the more distant points. | *[[GMS:Inverse Distance Weighted|Inverse Distance Weighted Interpolation]] – Based on the assumption that the interpolating surface should be influenced most by the nearby points and less by the more distant points. | ||
*[[GMS:Kriging|Kriging]] – Based on the assumption that the parameter being interpolated can be treated as a regionalized variable | *[[GMS:Kriging|Kriging]] – Based on the assumption that the parameter being interpolated can be treated as a regionalized variable. | ||
[[GMS:2D Interpolation Options|Log interpolation]] is also supported.<noinclude>[[Category:Interpolation]][[Category:3D Scatter Point]]</noinclude> | [[GMS:2D Interpolation Options#Log_Interpolation|Log interpolation]] is also supported.<noinclude>[[Category:Interpolation|3D]][[Category:3D Scatter Point|3]]</noinclude> |
Latest revision as of 19:05, 9 June 2022
The following methods are supported for 3D interpolation in GMS:
- Inverse Distance Weighted Interpolation – Based on the assumption that the interpolating surface should be influenced most by the nearby points and less by the more distant points.
- Kriging – Based on the assumption that the parameter being interpolated can be treated as a regionalized variable.
Log interpolation is also supported.