Template:GMS 2D Interpolation Method: Difference between revisions
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*[[GMS:Inverse Distance Weighted|Inverse Distance Weighted]] – 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]] – Based on the assumption that the interpolating surface should be influenced most by the nearby points and less by the more distant points. | ||
*[[GMS:Clough-Tocher|Clough-Tocher]] | *[[GMS:Clough-Tocher|Clough-Tocher]] | ||
*[[GMS:Natural Neighbor|Natural Neighbor]] | *[[GMS:Natural Neighbor|Natural Neighbor]] – Based on the Thiessen polygon network of the point data. | ||
*[[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|Log interpolation]] is also supported.<noinclude>[[Category:Interpolation]][[Category:2D Scatter Point]]</noinclude> | [[GMS:2D Interpolation Options#Log Interpolation|Log interpolation]] is also supported.<noinclude>[[Category:Interpolation]][[Category:2D Scatter Point]]</noinclude> | ||
Revision as of 15:06, 8 July 2016
The following 2D interpolation methods are supported by GMS:
- Linear
- Inverse Distance Weighted – Based on the assumption that the interpolating surface should be influenced most by the nearby points and less by the more distant points.
- Clough-Tocher
- Natural Neighbor – Based on the Thiessen polygon network of the point data.
- Kriging – Based on the assumption that the parameter being interpolated can be treated as a regionalized variable.
Log interpolation is also supported.
