[R-sig-Geo] presence-only data analysis

[Jess Chandler]

SH,

What you are looking at sounds like a hazard rate analysis (but with only
location and a dummy variable). You can define a set of neighbor counties
and presence for those counties (or set of counties) as another variable.
You will then have 

Outbreak risk = a(presence) + b(location-maybe) + c(neighbor)

Which model in R that you use will depend upon whether you have time
series data.

Jess


On 12/6/12 10:21 AM, "SH" <emptican at gmail.com> wrote:

>Dear List:
>
>I have googled to try to understand analyzing presence-only data and
>predicting (?) species outbreaks.  Although I was able to find a few
>papers, it is somewhat hard for me to figure out adapting my data.
>Or, I may be looking at a wrong place.  Any suggestions/comments will
>be appreciated.
>
>I have a data set of GPS coordinates (long, lat) and presence-only
>data (i.e., '1') based on counties.  I would like to estimate
>likelihood of outbreak index.  For example, we know there is an
>observation in (say) county A (or A, B, and C neighboring counties)
>and I would like to know the likelihood (e.g., probabilities) of other
>surrounding or neighboring counties (e.g., D, E, F, etc.).  Could you
>give me any suggestion on analyzing this type of data?  I DON'T have
>any covariates.
>
>Thank you in advance,
>
>SH
>
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