Summarises where the model may be trusted: how many prediction locations fall inside the area of applicability and how many outside, the dissimilarity threshold that separated them, and the predictors the index was computed over (naming any dropped for having no usable variance). The proportion outside is the headline number. A map that extrapolates over much of its extent is reporting predictions its training data cannot support, whatever the cross-validation score said.
Usage
# S3 method for class 'aoa'
print(x, ...)See also
Other print methods:
print.gwr_model_selection(),
print.morans_i(),
print.resolution_profile(),
print.sac_range()