Ordinary Kriging.rsx.help

{"Local_kriging": "Boolean. If checked, points to interpolate will be limited to a number of nearest observations", "kriging_prediction": "Kriging predicted value", "ALG_DESC": "This script does Ordinary Kriging interpolation from a numeric field of a points vector layer. It allows to auto select the initial values for nugget, psill and range; or it can fit a model from initial values provided. Besides, you can limit the number of points used to predict.", "R_CONSOLE_OUTPUT": "Fitted model parameters ", "Number_of_nearest_observations": "Maximun number of observations used in local kriging", "Estimate_range_and_psill_initial_values_from_sample_variogram": "Boolean. If checked, initial values for nugget, psill and range will be estimated from sample variogram", "ALG_CREATOR": "Guillermo Federico Olmedo\nMarcos Angelini", "nugget": "Iniital value for nugget", "layer": "points vector layer", "psill": "Initial value for partial sill", "field": "numeric field from layer to interpolate", "range": "Initial value for range", "RPLOTS": "Semivariogram and fitted model", "Show_Sum_of_Square_Errors": "Boolean. If checked, it will show the sum of squared errors of the model fitting in R console output.", "ALG_HELP_CREATOR": "Guillermo Federico Olmedo", "Extent": "Method to calculate the extent of interpolation", "ALG_VERSION": "1.0", "model": "Model to fit", "Resolution": "Cellsize of the interpolation raster, in layer units.  Only for projected layers. Layers in lat-long will be interpolated over 5000 cells.", "kriging_variance": "Kriging variance of prediction"}