GMS:Jackknifing: Difference between revisions
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Jackknifing is a special type of interpolation which can be useful in analyzing a scatter point set or an interpolation scheme. When the '''''Jackknifing''''' command is selected, the active scatter point set is interpolated "to itself" using the currently selected interpolation scheme. Each point in the set is processed one at a time. The point is temporarily removed and the selected interpolation scheme is used to interpolate to the location of the missing point using the remaining points. Ideally, the interpolated value should correspond closely to the original measured value at the point. By interpolating to each point, a new | Jackknifing is a special type of interpolation which can be useful in analyzing a scatter point set or an interpolation scheme. When the '''''Jackknifing''''' command is selected, the active scatter point set is interpolated "to itself" using the currently selected interpolation scheme. Each point in the set is processed one at a time. The point is temporarily removed and the selected interpolation scheme is used to interpolate to the location of the missing point using the remaining points. Ideally, the interpolated value should correspond closely to the original measured value at the point. By interpolating to each point, a new dataset is generated for the scatter point set. This new dataset can be compared with the original dataset using the '''''Summary''''' command in the ''Interpolation'' menu. | ||
You can select your original | You can select your original dataset and then you can select the dataset created from jackknifing. The mean error, mean absolute error, and the root mean squared error are automatically calculated. | ||
==See also== | ==See also== | ||
Revision as of 15:40, 30 September 2013
Jackknifing is a special type of interpolation which can be useful in analyzing a scatter point set or an interpolation scheme. When the Jackknifing command is selected, the active scatter point set is interpolated "to itself" using the currently selected interpolation scheme. Each point in the set is processed one at a time. The point is temporarily removed and the selected interpolation scheme is used to interpolate to the location of the missing point using the remaining points. Ideally, the interpolated value should correspond closely to the original measured value at the point. By interpolating to each point, a new dataset is generated for the scatter point set. This new dataset can be compared with the original dataset using the Summary command in the Interpolation menu.
You can select your original dataset and then you can select the dataset created from jackknifing. The mean error, mean absolute error, and the root mean squared error are automatically calculated.
See also
GMS – Groundwater Modeling System | ||
|---|---|---|
| Modules: | 2D Grid • 2D Mesh • 2D Scatter Point • 3D Grid • 3D Mesh • 3D Scatter Point • Boreholes • GIS • Map • Solid • TINs • UGrids |  |
| Models: | FEFLOW • FEMWATER • HydroGeoSphere • MODAEM • MODFLOW • MODPATH • mod-PATH3DU • MT3DMS • MT3D-USGS • PEST • PHT3D • RT3D • SEAM3D • SEAWAT • SEEP2D • T-PROGS • ZONEBUDGET | |
| Aquaveo | ||
