Latest Contributions by giancarlociotoli

Regarding the Empirical Bayesian Kriging Regression, ArcGis Pro help reports that this algorithm for estimating a response variable needs a set of rasters as predictors. Furthermore, help reports that before building the regression kriging model, the explanatory variable rasters are transformed into their principal components, and these principal components are used as the explanatory variables in the regression model. However, there is no possibility to see in the output the results of the PCA, in terms of how many factors were extracted and what are the loadings of the original variables within the factors. Can you please tell me if there is a way to display these results, and if not, are you going to implement a function that can return the number of factors extracted and the loadings of the factors? Thanks Best regards Giancarlo giancarlo.ciotoli@igag.cnr.it   ... View more

In ArcGIS Pro the Semivariance/Covariance modelling window of the Geostatistical Wizard does not allow the exportation of the variography and variogram map results. The possibility to export as table or raster the results of the variography (experimental variogram binned values, average values and model, and Variogram/Covariance map etc.) was on the contrary present in ArcMap 10.x (see attached figure). Exportation of this data is very important for further calculation and for a better graphical representation since the copying (right click) of the shown experimental variogram creates a figure with a low resolution. ... View more