[tlocoh-info] Sampling frequency graph

Andy Lyons lyons.andy at gmail.com
Sun Nov 29 21:10:57 CET 2020


I concur with Wayne, Chavoux and Damian. You can thin down the entire 
dataset to get a consistent ~2 pts per day, and analyze that subset for 
its spatial characteristics only (i.e., isopleths). In other words, 
ignore time when you construct hulls for this subset because the 
duration between observations is not meaningful (has less to do with the 
individual's behavior and more to do with noise from the sampling 
logistics). Then when you analyze the portion of the data that has a 
regular sampling frequency, you can include time when constructing 
hulls, compute hull metrics that assume enclosed points are near in 
space and time, construct metrics for revisitation, etc. Cheers, Andy

On 11/26/2020 9:12 AM, Wayne Marcus GETZ wrote:
> Just to be clear.  You can analyze the full period using a subset of 
> the higher frequency data added to the full set of the lower frequency 
> data.  You can also analyze the higher frequency period on its own. 
>  So the two periods overlap and the  full contains the partial.
>
>
>
>> On Nov 26, 2020, at 8:56 AM, Chavoux Luyt <chavoux at gmail.com 
>> <mailto:chavoux at gmail.com>> wrote:
>>
>> Hi Cassandra,
>>
>> I agree with the answer by Damian Lidgard. As I understand it, you 
>> define a "visit" period (in order to see whether 2 points in the same 
>> area is part of a single visit or a revisit). Typically, for 
>> predators I used the longest period they would stay on a single 
>> carcass. So if your sample frequency is longer apart than the "visit 
>> period", there is no way to classify it as anything else than a 
>> revisit. I would analyse the 2 periods separately.
>>
>> HTH.
>> Chavoux Luyt
>>
>> Op Do. 26 Nov. 2020 om 07:10 het Cassandra Arkinstall 
>> <cassandra.arkinstall at gmail.com 
>> <mailto:cassandra.arkinstall at gmail.com>> geskryf:
>>
>>     Hi all,
>>
>>     I am new to tLoCoH and have a question about the sampling
>>     frequency graphs. I have GPS tracking data for bilbies however
>>     there are some gaps and missing data for the first part of my
>>     study (due to antenna breakages). This means I only have 1-2
>>     fixes per day for the first month, and then several fixes per day
>>     for the following month (as the antennas were repaired).
>>
>>     This then affects my sampling frequency graphs (example
>>     attached), and I am concerned that the points at a low sampling
>>     frequency will affect the temporal analyses. Should I consider
>>     trimming these data points using “lxy.thin.byfreq()”? Or is it
>>     best to keep them in?
>>
>>     Thanks in advance.
>>
>>     Kind regards,
>>     Cass
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