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Hi Michelle,<br>
<br>
That's a good question. Expressed slightly more generally, it seems
you're dealing with a dataset that has long temporal gaps in it, and
wondering how those gaps will affect the construction of hulls and
subsequent isopleths. Presumably you want to avoid generating hulls
that cover areas where the individual wasn't seen, especially areas
between two clusters of locations recorded at two different time
periods.<br>
<br>
A few lengthy time gaps in a dataset shouldn't necessarily create
spurious cross-overs in space use. You can of course analyze groups
of points recorded at different seasons separately (e.g., rainy
season year 1, rainy season year 2). Alternatively, you can analyze
all the rainy season locations across multiple years as one group.
If time is excluded in nearest neighbor selection (let s=0), hulls
will be constructed around each point and the closest points in
space (regardless of which year they fall in). If you include time,
the points within the same season will be favored as nearest
neighbors, because the temporal difference between two points
collected a year apart will probably swamp out the distance in space
(although it depends on the value of s of course). This will give
you hulls that are local in space and time. In either case, the
adaptive method for nearest neighbor selection will reduce the
number of points used in hull construction in areas where the point
density is low (e.g., outlying areas).<br>
<br>
Hope this helps. If you're getting results that don't look right,
there might be another issue going on. Long time gaps, for example,
can also create what appear to be outlying points merely because
sampling was cut off before the individual had a chance to spend
much time in the area. Good luck and let me know if you have any
other questions.<br>
<br>
Best,<br>
<br>
Andy<br>
<br>
<br>
<br>
On 5/1/2014 3:01 AM, Michelle Kastern wrote:<br>
<blockquote
cite="mid:CAFjSjwB-GqsOzY88HX3+ujLnXsM0QGXLwcXhgDAnfxHR9AkHmg@mail.gmail.com"
type="cite">
<div dir="ltr">Hello tLoCoH list,
<div><br>
</div>
<div>I have a very basic question that I am hoping one of you
might be able to help with. I would like to know the seasonal
differences of the home range distribution of the collared
individuals in the study I am working on. However, I do not
know if running tLoCoH with the time gaps is showing
incorrectly areas where individuals spent long periods of time
(dark blue spots). Basically I want to show dry and wet season
over two years. Currently I have just split the data and ran
the script but I think the 6 month gaps are affecting the
hulls. Have any of you tried this or have suggestions on how
best to deal with seasonal differences.</div>
<div><br>
</div>
<div>Any help will be much appreciated.</div>
<div><br>
</div>
<div>Kind regards,</div>
<div><br>
</div>
<div>Michelle</div>
</div>
<br>
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<br>
<div class="moz-signature">-- <br>
<small><font face="Times New Roman, Times, serif">
<b>Andy Lyons, PhD</b><br>
Department of Environmental Science Policy and Management<br>
137 Mulford Hall #3114<br>
University of California at Berkeley<br>
Berkeley, CA 94720-3114<br>
<br>
Phone: +1-510-325-5860<br>
<a href="mailto:ajlyons@berkeley.edu">ajlyons@berkeley.edu</a><br>
<br>
<a href="http://www.andylyons.org">http://www.andylyons.org</a><br>
<a href="http://tlocoh.r-forge.r-project.org">http://tlocoh.r-forge.r-project.org</a><br>
<a href="http://www.novamodeler.com">http://www.novamodeler.com</a><br>
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