Aggregation (Spatial Temporal Prediction)

  • If you select any Predictors in the step for selecting fields, you can select the aggregation summary method for the predictors.
  • Aggregation is necessary when there is more than one record in a defined time interval. For example, if the time interval is month, then multiple dates in the same month are aggregated together.
  • You can specify the aggregation summary measure method for continuous and ordinal fields. Nominal fields are aggregated based on the modal value.
For continuous (scale) fields, the summary measure can be mean, median, or sum.
For ordinal fields, the summary measure can be median, mode, highest, or lowest.
Custom settings for specific fields
You can override the default aggregation summary measure for specific predictors.
  • Click the icon to open the Field Chooser dialog and select a field to add to the list.
  • In the Aggregation column, select a summary measure.