Skip to main content

Table 5 Summary of the best model accounting for the observed patterns of contact success rate (a), false-negative rate (b) and contact-triggered GPS location success rate (c)

From: Understanding and geo-referencing animal contacts: proximity sensor networks integrated with GPS-based telemetry

 

β-Coefficient

SE

df

t

P

(a) Model contact success rate

Intercept

2.2893

0.08323

15

27.51

<.0001

1 logger

−0.4716

0.1653

15

−2.85

0.0121

2 loggers

−0.3635

0.1277

15

−2.85

0.0123

3 loggers

–

–

–

–

–

(b) Model false-negative rate

Intercept

0.6931

0.1768

15

3.92

0.0014

1 logger

1.1192

0.4203

15

2.66

0.0177

2 loggers

0.1386

0.2647

15

0.52

0.6082

3 loggers

–

–

–

–

–

(c) Model contact-triggered GPS location success rate

Intercept

4.0604

1.0086

15

4.03

0.0011

1 logger

11.2386

4.4765

15

0.03

0.9803

2 loggers

−2.9618

1.0881

15

−2.72

0.0157

3 loggers

–

–

–

–

–

  1. β-Coefficients, standard errors and significance for each level of the number of loggers in the network, for the model of contact success rate (a), false-negative rate (b) and contact-triggered GPS location success rate. Since the number of loggers was fitted as a categorical variable in the models, the β-coefficients refer to the difference with respect to the reference level (three loggers)
Back to article page

Animal Biotelemetry

ISSN: 2050-3385