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

[SH]

Thank you, Jess.

Still confused, if I understand correctly, my model will be:

Outbreak risk = a(presence) + b1(location-longitude) +
b2(location-latitude) + c(neighbor)

Then, what could be the contents of 'presence' and 'neighbor'
variables?  Are they names of counties or indices?

I don't have time component in the data.  What R-package can I look?
I found 'muhaz' package, is that one of them you think of?

Thanks again,

SH




I am not familiar with a hazard rate analysis.  I found '

On Thu, Dec 6, 2012 at 1:29 PM, Jess Chandler
<jchandler at emiconsulting.com> wrote:
> 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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>