presence-only data analysis
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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