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Table 2 Summary of resting state assignment using a two-state hidden Markov model fit to activity and apparent step-length data for 21 GPS collar deployments on 9 individual fishers. Percent of time resting is the percentage of time series for which P(st = 1) > 0.95. Percent uncertain is the percentage of time series for which P(st = 1) < 0.95 and P(st = 2) < 0.95. The number of rest events is the number of segments of the time series with sequential resting state assignments. The average duration (and standard deviation) of these rest events is indicated

From: Identifying resting locations of a small elusive forest carnivore using a two-stage model accounting for GPS measurement error and hidden behavioral states

Fisher ID Deployment Percent of time resting Percent uncertain Number of rest events Average duration (SD) in hours
F01T Fall 15 0.69 0.04 179 3.9 (3.0)
F01T Summer 16a 0.44 0.03 145 2.9 (2.5)
F01T Summer 16b 0.55 0.04 117 3.6 (3.1)
F01T Winter 17 0.59 0.04 150 2.6 (2.1)
F02T Fall 15 0.65 0.04 131 4.6 (3.9)
F02T Summer 16b 0.72 0.02 132 5.2 (3.8)
F03T Fall 15 0.72 0.07 228 2.7 (2.2)
F03T Summer 16a 0.42 0.04 132 3.2 (3.0)
F03T Summer 16b 0.49 0.02 78 3.4 (3.1)
F03T Winter 17 0.72 0.05 144 3.0 (2.7)
F07T Fall 16 0.59 0.04 165 2.2 (1.7)
F07T Fall 17 0.57 0.02 119 4.0 (3.3)
M03T Fall 16 0.62 0.02 286 4.3 (3.9)
M03T Winter 17 0.67 0.02 295 5.6 (3.9)
M05T Fall 16 0.56 0.02 95 3.5 (2.6)
M07T Fall 16 0.58 0.01 134 3.6 (3.3)
M08T Fall 16 0.67 0.03 127 4.4 (4.6)
M08T Spring 18 0.73 0.04 533 5.5 (4.4)
M08T Winter 17 0.73 0.03 442 5.5 (5.0)
M09T Spring 18 0.68 0.03 335 5.7 (4.5)
M09T Winter 17 0.65 0.03 101 4.9 (3.3)