Trend Plots – Model Validation

Trend Plots are used to validate estimated grades by comparing mean grades within a series of slices. The slices can be oriented in the X (Northing), Y (Easting) or Z (Elevation) directions.

  • When Model Validation is applied to point (assay) data, the Trend Plot compares the mean of the estimated grade to the mean of the point data within each slice.
  • When applied to a block model, the Trend Plot compares the mean grades of the selected block model datasets within each slice.

By default, the Trend Plot displays:

  • The naive mean grade for the point data (when available)
  • The estimate mean for any selected block datasets

In addition to these, you can also view:

  • The naive mean with a top-cut applied
  • The weighted mean grade
  • The weighted mean grade with a top-cut applied

Notes:

The weighted and weighted top-cut mean grade series are only available if a Weight variable has been added to the point data. It can be defined through the Declustering component or a specific variable imported with the data.

The Trend Plot component is part of the Model Validation toolkit and can only be added to a Model Validation component in the Project Tree.