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Kriging is an advanced geostatistical method, used to estimate a surface from a scattered set of elevation data points. Unlike deterministic interpolation methods, Kriging is based on statistical models that include autocorrelation - the statistical relationships among the source data. This gives Kriging the capability of measuring the certainty or accuracy of its predictions.


To calculate an elevation at a given point, Kriging fits a mathematical function to a specified number of points, or to all points within a specified radius.


General Settings


Define Gridlines:Define the desired grid lines to be generated for the output.


Kriging Type:The method to use for calculation: nearest point, automatic, or advanced. The automatic and nearest point options are sufficient for most cases.


Point Selection:Used to determine which points to use for estimation: k-nearest, octant, or all points. DO NOT USE the "all points" option on large data sets!


Number of Points:When using k-nearest points, this sets the number of points to consider.


Advanced Settings


Specialized options are available in the Advanced Settings tab to customize the statistical model used to calculate elevations. A full description of these settings is beyond the scope of this document.