کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4403495 | 1618635 | 2011 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Data Augmentation Approach in Bayesian Modelling of Presence-only Data
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم محیط زیست
بوم شناسی
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چکیده انگلیسی
Ecologists are interested in prediction of potential distribution of species in suitable areas, essential for planning conservation and management strategies. Unfortunately, often the only available information in such studies is the true presence of the species at few locations of the study area and the associated environmental covariates over the entire area, referred as presence-only data. We propose a Bayesian approach to estimate logistic linear regressions adapted to presence-only data through the introduction of a random approximation of the correction factor in the adjusted logistic model that allows us to overcome the need to know a priori the prevalence of the species.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Environmental Sciences - Volume 7, 2011, Pages 38-43
Journal: Procedia Environmental Sciences - Volume 7, 2011, Pages 38-43