In statistics, Cross-Validation is is a model validation technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is in prediction, and how accurately a predictive model will perform in practice. It involves removing a control point from the data to be interpolated, using other control points to estimate a value at the location of the removed point, and then computing the residual, the difference between the known and estimated control point in turn. If cross-validation is done for a variety of interpolation methods, the resulting sets of residuals can be compared.
Cross-validation in ArcGIS
Cross-validation can be run in ArcGIS using the Cross-Validation (GeoStatistical Analysis) tool under Geostatistical Analysis Tool> Utilities>Cross Validation
- ↑ http://resources.arcgis.com/en/help/main/10.1/index.html#/Performing_cross_validation_and_validation/003100000059000000/
- ↑ Slocum, T. A. , R. B. McMaster, F. C. Kessler, and H. H. Howard.(2009) Thematic cartography and geovisualization. Pearson Education, Inc., pg 292. print.