Generic prevalence predictor
generic-prev-pred:2
Predict prevalence of an outcome at points, polygons or over a grid using georeferenced prevalence survey data. Also provides the option to obtain recommendations of further survey sites to improve predictions using spatially adaptive sampling.
General parameters
Outputs
if predict_to = grid
- Produces a raster (GeoTIFF) of predicted probability of the outcome. See
predict_toparameter for information on defining the resulting resolution/extent.
if predict_to = points
- Produces a csv file of
prediction_pointswith additional columns
prevalence_prediction: point prevalence prediction (i.e. best guess)prevalence_bci_width: 95% prediction interval
If exceedance_threshold is defined, in addition
exceedance_probability: The probability that true prevalence exceedsexceedance_threshold.exceedance_uncertainty: The probability that the predicted class is correct.entropy: The entropy (0-1 scale) associated with each prediction. Higher entropy equates to higher uncertainty in classification.
or predict_to = polygons
- Produces the same metrics/fields as if predicting to points. Resulting file is a GeoJSON.
If batch_size is specified, an additional column adaptively_selected with TRUE or FALSE is added, representing whether the location has been selected adaptively.