[tlocoh-info] Hull metrics

[Julia Krejci]

Hi Andy,

 

thank  you (and everyone else) for your quick reply! 

I guess it would be easier and more flexible to be able to draw a polygon around a specific location. And every point (and its hull) which lies within the polygon counts for the site. But maybe it would be more accurate if you say, only points whose hulls fall entirely (or for example >50%) to the polygon are taken into account. 

I think it would be an interesting function, I for myself would love to have something like that because the locations of my animals are very clustered. 

 

Best wishes,

Julia 

 

Von: Andy Lyons [mailto:lyons.andy at gmail.com] 
Gesendet: Mittwoch, 11. Februar 2015 19:33
An: Julia Krejci
Cc: tlocoh-info at lists.r-forge.r-project.org
Betreff: Re: [tlocoh-info] Hull metrics

 

Hi Julia, 

That's a good question. It seems you need a way to identify hulls that belong to specific sites, and save the site location as an ancillary variable (which can then serve as a hull metric). There isn't a function currently in the package that can classify points or hulls based on their location in space, but we could develop one because I think this would have general utility. 

How specifically would you want to assign points / hulls to sites? One option for defining a site would be with a polygon, either by drawing one on the plot window or bringing in a shapefile. Another option would be defining a site based on distance from a given location (i.e., a circle). After defining the site, would you want to say that any point (and thus the hull for that point) that falls within the site? Or would you only want hulls whose entire area falls within the site? 

Comment from other people welcome also. 

Thanks.

Andy





 

On Feb 11, 2015, at 5:53 AM, Julia Krejci <julia.krejci at chello.at> wrote:

 

Dear Mailinglist,

I’m currently trying to compare hull metrics (nsv and mnlv) of several individuals and several sites. I want to know how long and how often individual A visited site 1 and 2 and the same for individual B. Is there a way to get more accurate values for specific sites than I can receive from the images? Currently I have just plotted the hpp with the respective colour code and try to compare colours but of course that’s not very accurate, also because the colours only represent ranges of values (like, yellow is 1 – 12, orange is 12 – 24 and so on). 

Thank you for every advice!

Best wishes, 

Julia 

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