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This result appeared consistently in the stationary collar experiment, the probabilistic model and the stochastic model.
I removed GPS locations from the stationary collar data using three of the filters suggested by [26]: removing locations with 1) PDOP>5, 2) PDOP>2 and 3) 2-D fix status.
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The proportion of angles in each 15° interval for the stationary GPS collar, the probabilistic model (Equations 6 and 7) and the computer simulations for stationary collars were in close agreement (Figure 4).
For the stationary GPS collar experiment, 421 locations were recorded with a 96% fix rate.
The turning angle and directional bias data from the stationary GPS collar experiment are shown as * in Figure 4.
From the 421 measured locations recovered from the stationary GPS collar experiment, I calculated 379 measured turning angles and 380 measured directional biases.
I compared Equations 6 and 7 to the data from the stationary GPS collar experiment and results for the Monte Carlo simulations for stationary animals where I assumed both a Normal and Bessel distribution of measurement error.
I parameterized the distribution of measurement error from a stationary GPS collar and ran simulations that suggested the spurious effects of measurement error are unlikely to occur for measured step lengths >20 meters.
I collected GPS locations every two hours from a stationary Lotek 2200 GPS collar that was hung from a rope tied between two iron stakes at a height of approximately 1 meter.
I perform an experiment with a GPS collar that was stationary.
If structure is located in the stationary (or temporary stationary) level ice then structure freezes in the ice and ice collars occur during constant water level and cold temperatures.
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Justyna Jupowicz-Kozak
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