This gridding method assigns grid node values by adding the z-values for all control points that reside with the corresponding grid cell, creating a cumulative sum of the control point Z values.
This technique is useful when mapping weighted occurrence data. For example, let's say that we wanted to create a contoured crime map. We would begin by creating an xyz table of individual occurrence data in which the z-value represents the severity of a crime (e.g. parking violation = 0.1, shoplifting = 0.2, violent assault = 0.8, homicide = 1.0). The data would then be gridded in such a way that the grid nodes represent the sum of all control point weights within each cell.
This method could also be used to model total well production within grid cells.
Note: This algorithm is NOT intended for modeling structural surfaces or thickness values.
Note: Do not use the "Declustering" option in conjunction with this algorithm. Duplicate points must be considered for the applications that we had in mind when designing this program (i.e. multiple occurrences at the same location).
There are no menu options for this algorithm.
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