Multivariate geochemical data resulting from rock chips, soil, or stream sediment sampling can serve as potential datasets for unsupervised outlier detection methods (e.g., Shahrestani and Sanislav 2025a). Unsu
To test against this possibility, we generated null distributions by randomly sampling angles from the full distribution of angles explored by the animal. The number of samples was set to equal the number of stimulation angles. Angles were randomly sampled in this way 1000 times, and each time ...
(i.e., the animal by chance always faces the direction we have chosen as the target window). To test against this possibility, we generated null distributions by randomly sampling angles from the full distribution of angles explored by the animal. The number of samples was set to equal the...