DEPRECATED FUNCTION. Please use distribution_performance() instead.
Value
- mean_step_cor
Indicates on average how well the model project a single timestep. The mean correlation, across all timesteps, between the training (eBird S&T) distribution projected forward one timestep, and the training distribution for the projected timestep.
- min_step_cor
Indicates the quality of the worst single step projection. The minimum correlation (across all timesteps) between a single step projection each training distribution and the training distribution for the projected timestep.
- traverse_cor
Indicates how well does the model project through all timesteps. The correlation between last distribution projected iteratively from the fist training distribution; and the last training distribution.
- mean_distr_cor
Indicates on average how well the marginal preserves the training distributions. The mean correlation between the training distributions and distributions calculated from the marginals.
- min_distr_cor
Indicates how well the poorest marginal preserves the training distribution. The minimum observed correlation between a marginal and training distribution.
Details
Calculate several the correlation between projected distributions and the eBird Status and Trends (S&T) distributions used to train the BirdFlow model.
"Training distribution" is used to describe the eBird S&T distributions used to train the BirdFlow models. "Marginal distribution" describes a distribution calculated from row or column sums of a marginal, joint probability matrix. "Projected distribution" is used to describe a training distribution that is multiplied with a transition matrix (derived from the marginal distribution) to project forward one timestep; or multiplied repeatedly with transition matrices to project forward multiple timesteps.
Correlations are calculated for only the non-dynamically masked cells.