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Table 1 Tuned parameters and settings for each of the five segmentation methodologies

From: Acoustic evaluation of behavioral states predicted from GPS tracking: a case study of a marine fishing bat

Category

Method

Parameter

Setting

Pattern Description

k-Means clustering

First-passage time

Radius

250 m

Threshold

142 s

State-space modeling

Expectation Maximization and binary clustering

Hidden Markov model

Regularization

15 s

Initial step length (mean/SD)

State 1: 70.2/ 27.6 m

State 2: 160.8/ 23.0 m

Initial turn angle (mean/concentration)

State 1: 0/0.1

State 2: 0/0.1

Behavioral Change Point Analysis

Correlated velocity movement behavioral partitioning

Window size

2 (2.5)a min

Window step

1.25 min

Minimum changepoint distance

0.5 min

  1. aOne bat flight did not converge with a 2 min window size and was adjusted to 2.5 min