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Table 6 For a random selection of mice (n = 8), we calculated the number of sets of bearings that one program produced that had matching locations (< 10 m) produced by both other two programs, creating a triplicate of locations from that one set of bearings that fell within the same area of the home range (total possible locations = 234)

From: Very small collars: an evaluation of telemetry location estimators for small mammals

Mouse ID

51–95% KDE

Locate III

LOAS

Sigloc

140

3

3

1

161

7

7

4

411

9

9

1

209

6

6

2

244

1

9

0

337

3

9

0

387

6

13

8

412

9

13

3

Average (SD)[COV]

5.5 (2.7) [48]

8.6 (3.2) [37]

2.4 (2.5) [104]

Mouse ID

0–50% KDE

Locate

LOAS

R

140

16

17

18

161

18

18

22

411

16

15

24

209

26

26

30

244

14

6

15

337

16

15

23

387

30

24

28

412

44

39

51

Average (SD)[COV]

22.5 (9.7) [43]

20 (9.2) [26]

26.4 (10.4) [39]

  1. These counts were summarized and averaged, including standard deviation (SD) and coefficient of variation (COV) across the core (0–50%) kernel density estimate (KDE) home range and the exterior edge KDE home range (51–95%) across three different estimator programs (Locate III, LOAS, and Sigloc). The mice were tracked via micro-VHF collars in a suburban park in Howard county, Maryland, USA, 2018–2019