Class to define the a subset of an input Data Base ('Db') called a Neighborhood. This Neighborhood feature is invoked when the geostatistical processing cannot handle the whole data set (usually due to core limitations) and requires a fine selection of the most suitable part of the data set
This class describes the Covariance as a list of elementary covariances (see CovAniso.hpp for more details) where the calculation rule is simple: the returned value is the sum of each elementary (active) covariance function
Class to define the a subset of an input Data Base ('Db') called a Neighborhood. This Neighborhood feature is invoked when the geostatistical processing cannot handle the whole data set (usually due to core limitations) and requires a fine selection of the most suitable part of the data set
Class containing the definition of a Direction used for the calculation of the experimental Spatial Characteristics as calculated experimentally from the data (contained in a Db). This class corresponds to one item of the list of criteria stored in VarioParam and use for the calculation of Vario
Class containing the Variogram Cloud which uses an DbGrid provided by the user This function simply calculate and add the results as new field in this DbGrid
Class containing the Variogram Map which uses an DbGrid provided by the user This function simply calculate and add the results as new field in this DbGrid
This class provides the information on Drift part of the Model. The drift plays the role of the average of the target Random Function which may be constant or vary as a function with low frequency variations (by opposition to the complementary part of the Spatial Characteristics which is described by its Covariance)
This class describes the Covariance as a list of elementary covariances (see CovAniso.hpp for more details) where the calculation rule is simple: the returned value is the sum of each elementary (active) covariance function
This class provides the information on Drift part of the Model. The drift plays the role of the average of the target Random Function which may be constant or vary as a function with low frequency variations (by opposition to the complementary part of the Spatial Characteristics which is described by its Covariance)
1.9.1