Thanks, i might try looking at the R packages and if I get frustrated I'll
check out the book.

2012/7/18 Robert J. Hijmans <r.hijmans@gmail.com>

>
> There is a triangulation example in the geosphere vignette:
> http://cran.r-project.org/web/packages/geosphere/vignettes/geosphere.pdf
> This is for spherical (longitude/latitude) coordinates, but perhaps it is
> useful to look at when developing something similar for xy coordinates.
>
> Robert
>
> On Wed, Jul 18, 2012 at 2:09 PM, Barry Rowlingson <
> b.rowlingson@lancaster.ac.uk> wrote:
>
>> On Wed, Jul 18, 2012 at 7:24 PM, Robby Marrotte <robbymarrotte@gmail.com>
>> wrote:
>> > Hello everyone,
>> >
>> > I have data where for every tracked individual we have 3
>> radio-telemetry xy
>> > locations with an orientation (0-360 deg). What I want to do is create
>> > triangles which represent the possible locations of each individual. It
>> > seems quite simple, but I haven`t found a script which does this yet. I
>> > tried Hawth`s tools but it doesn't have anything like this.
>>
>> Hawth? Who that?
>>
>>  I'm no expert in this, but I've had a good search for anything that
>> might do this in R, but can't find anything either. Found some
>> literature (Russell V. Lenth appears to be quite the man for this) and
>> some of the techniques in "On Finding The Source Of A Signal" in
>> Technometrics 1981 by him should be easy to implement in R if anyone
>> has a spare day...
>>
>>  The naive method of intersecting the lines should be doable with
>> high-school geometry, but Lenth warns:
>>
>> """
>> A simple method for estimating (x, y) would be to use the
>> componentwise average of the n(n - 1)/2 bearing intersections
>> (assuming the observation points are distinct and that each bearing
>> intersects all other bearings). However, these points of intersection
>> are not stochastically independent. Moreover, their error structures
>> depend on the distances from the corresponding observation points as
>> well as the angle of intersection. Thus it would be difficult to
>> determine the statistical properties of such an estimator."""
>>
>> Barry
>>
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>>
>
>

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