Experimental (Semi-) Variogram
calculate the isotropic and anisotropic experimental (semi-) variogram
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variogram calculates the isotropic and anisotropic experimental variogram in various dimensions.
Syntax:
d = variogram(x,y)
d = variogram(x,y,'pn','pv',...)
The function uses parseargs (objectId=10670) by Malcolm wood as subfunction.
Currently, the function calculates all variogram values at one step. While this is fast for small data sets (n<2000), it may fail on large data sets owing to memory constraints. For large datasets you may thus want to use the 'subsample' option.
Citar como
Wolfgang Schwanghart (2026). Experimental (Semi-) Variogram (https://la.mathworks.com/matlabcentral/fileexchange/20355-experimental-semi-variogram), MATLAB Central File Exchange. Recuperado .
Agradecimientos
Inspirado por: Consolidator, parseargs: Simplifies input processing for functions with multiple options, IPDM: Inter-Point Distance Matrix
Inspiración para: variogramfit, Ordinary Kriging
Información general
- Versión 1.4.0.0 (5,24 KB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
| Versión | Publicado | Notas de la versión | Action |
|---|---|---|---|
| 1.4.0.0 | Bug removed that occurred when calculating the distances for more than two dimensions. |
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| 1.3.0.0 | removed a bug in calculating the number of angular bins for anisotropic variograms. |
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| 1.2.0.0 | Removed dependency from IPDM. Fortunately, it is even faster now on my machine. The relatively large memory overhead is still unresolved. Added subsampling option. |
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| 1.1.0.0 | dependence on consolidator was removed,
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| 1.0.0.0 | removed an error in the calculation of the number of bins |
