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a process module to do this, based on variability in the chosen covariates, would be awesome!
@rvalavi has some ideas for how to select the optimal number of points based on this. K-means clustering might be a good way of efficiently selecting locations of background points (assuming reporting biases are taken care of in some other way)
The text was updated successfully, but these errors were encountered:
a process module to do this, based on variability in the chosen covariates, would be awesome!
@rvalavi has some ideas for how to select the optimal number of points based on this. K-means clustering might be a good way of efficiently selecting locations of background points (assuming reporting biases are taken care of in some other way)
The text was updated successfully, but these errors were encountered: