Data from: Point process models for presence-only analysis

Ian W. Renner, Jane Elith, Adrian Baddeley, William Fithian, Trevor Hastie, Steven Phillips, Gordana Popovic & David I. Warton
1. Presence-only data are widely used for species distribution modelling, and point process regression models are a exible tool that has considerable potential for this problem, when data arise as point events. 2. In this paper we review point process models, some of their advantages, and some common methods of fitting them to presence-only data. 3. Advantages include (and are not limited to): clarification of what the response variable is that is modelled; a framework...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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