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Title: Extension of Poisson point process based on quasi-linear modeling Authors:  Osamu Komori - Seikei University (Japan) [presenting]
Abstract: The investigation to clarify the relationship between habitat distribution of some species and the environmental variables is important for its conservation and management purpose. To do this, the maximum entropy method (Maxent) or Poisson point process (PPP) is widely employed using the presence-only data. We propose an extension of PPP based on the quasi-linear modeling to improve the estimation accuracy. The effect of sampling bias is also considered in our model. Some simulation studies and real data analysis are conducted to show its practical utility.