Crossvalidation results
Output type
Output results generated are of 3 types:
- Statistical result
- Numerical result (and spatial location)
- SVG graphics
Statistical result
Crossvalidation service calculates the following parameters (based on the residual values):
- Mean Error (ME)
- Mean Absolute Error (MAE)
- Mean Square Error (MSE)
- Root Mean Square Error (RMSE)
These parameters are measures of error between the observed and estimated values.
Numerical result
The CVResult is a WPS ComplexData output that contains an UncertML structure that reports the observation,estimation,residual and zscore. See:
UncertML
SVG graphics
The crossvalidation service uses R/Rpy to generate SVG graphics. The service generates:
- Statial map of observations (SpatialObs)
- Statial map of estimation (SpatialEst)
- Spatial map of residuals (SpatialRes)
- Bubble map of residuals (BubbleRes)
- Histogram of Z scores (HistZScores)
- Histogram of residual values (HistResiduals)
- SemiVariogram of Residuals (SVResiduals)
- Correlation between estimated and observed values (Correlation)
SVG Graphical examples of Meuse dataset
