{"id":"W1526319989","doi":"10.1111/j.2041-210x.2011.00172.x","title":"Selecting pseudo‐absences for species distribution models: how, where and how many?","year":2012,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2840,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche; European Commission","keywords":"Regression; Environmental niche modelling; Statistics; Species distribution; Regression analysis; Distribution (mathematics); Prediction interval; Predictive modelling; Computer science; Machine learning; Mathematics; Ecology; Artificial intelligence; Econometrics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null}