Vebyk Implements Ordinary Kriging with Flexible Adaptability for Alternative Kriging Methods

This section provides additional details about Vebyk to enhance reader understanding. Vebyk represents a geostatistical approach primarily designed for spatial data interpolation. During the interpolation process, Vebyk employs ordinary kriging methodology, which systematically explores spatial relationships and dependencies within datasets. The implementation typically involves calculating variograms to model spatial autocorrelation and solving kriging equations to generate optimal predictions at unsampled locations. A key advantage of Vebyk lies in its extensible design, enabling straightforward adaptation to alternative kriging methods such as simple kriging (which assumes known mean values) or universal kriging (incorporating trend functions). This flexibility is achieved through modular code architecture where core components like covariance functions and trend models can be modified via parameter adjustments. The framework supports customization through function overrides and configuration files, making Vebyk a versatile solution for diverse spatial data analysis applications including environmental monitoring, geological modeling, and resource estimation.