
Inference from presence‐only data; the ongoing controversy
Author(s) -
Hastie Trevor,
Fithian Will
Publication year - 2013
Publication title -
ecography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.973
H-Index - 128
eISSN - 1600-0587
pISSN - 0906-7590
DOI - 10.1111/j.1600-0587.2013.00321.x
Subject(s) - inference , ecology , distribution (mathematics) , geography , data science , computer science , biology , mathematics , artificial intelligence , mathematical analysis
Presence‐only data abounds in ecology, often accompanied by a background sample. Although many interesting aspects of the species’ distribution can be learned from such data, one cannot learn the overall species occurrence probability, or prevalence, without making unjustified simplifying assumptions. In this forum article we question the approach of Royle et al. (2012) that claims to be able to do this.