On Nov 26, 2009, at 2:25 PM, T.D.Rudolph wrote:
<Can you explain what you mean by "spatial area under the space" or
<what it is for which you think there is a well defined area in a
<ks:::kde object?
My knowledge is not extensive in this area but I am aware that kernel
methods can be used to estimate home range size. The function
kernel.area
in the adehabitat package, for example, produces a spatial area I
interpret
as being equivalent to estimated home range size using one of two
possible
smoothing parameters. I would like to use the plug-in method
because I am
convinced it will serve me best, but the ks package doesn't have a
simple
option like "kde.area" that produces what I'm looking for.
< Some example data would, as always, be welcome.
Attached is an example subset of my data. I've only gotten so far
as to
produce the kde object and explore potential solutions.
tmp.Hpi<-Hpi(x=temp[,2:3])
tmp.kde<-kde(x=temp[,2:3], H=tmp.Hpi)
The situation that I see (after looking at the documentation for
adehabit) is that for some as yet unarticulated reason, you have
decided that the methods used in prior publications in your domain are
not the best and you are going to invent new ones, but you are as yet
unable to provided a detailed specification or offer an implementation
of the methods. Furthermore, you are unable even to manipulate the
objects you have thus far created in service toward this effort.
I am being somewhat harsh in my assessment because it seems that you
really need is a statistical collaborator with whom you can bang ideas
together and arrive, first at a more detailed rationale and plan, and
then a forward effort using your data and his programming expertise to
demonstrate the superiority of your method. That would seem to be most
reasonably a joint effort with joint authorship as an outcome.
--
David.
Tyler
http://old.nabble.com/file/p26533942/temp temp
David Winsemius wrote:
On Nov 26, 2009, at 12:40 PM, T.D.Rudolph wrote:
I am trying to estimate home range size using the plug-in method
with kernel
density estimation in the kernel smoothing (ks) package. Unless
there is
another way I am not familiar with, in order to calculate spatial
area under
the space I need to convert my kde () object into a spatial object
somehow
in order to calculate its spatial area. Could someone demonstrate
how this
might be done?
Can you explain what you mean by "spatial area under the space" or
what it is for which you think there is a well defined area in a
ks:::kde object? (Some example data would, as always, be welcome.)
--
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______________________________________________
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PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
View this message in context:
http://old.nabble.com/Export-kde-object-as-shapefile-tp26532782p26533942.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
