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Aggregation Methods for Data Modeling

In the Data Modeling Load Nodes, regridding methods need to be selected if the data is going to be geographically and/or temporally regridded. This is the list of options available in both the Geo and Time Aggregation dropdowns:

  • conserve - maintain the total sum of the data before and after (e.g. for regridding population)
  • min - take the minimum value from each bucket during regridding
  • max - take the maximum value from each bucket during regridding
  • mean - take the mean value from each bucket during regridding. Note: Use interp_or_mean instead of mean, since it doesn't handle well when increasing the resolution of the data
  • median - take the median value from each bucket during regridding
  • mode - take the mode of each bucket during regridding. Note: Use nearest_or_mode instead of mode, since it doesn't handle well when increasing the resolution of the data
  • interp_or_mean - if increasing resolution, interpolate the data. If decreasing resolution, take the mean of each bucket
  • nearest_or_mode - if increasing resolution, take the nearest data. if decreasing resolution, take the mode of each bucket