Predicting the Geographic Distribution of a Species from Presence-Only Data Subject to Detection Errors

Likelihood analysis of species occurrence probability from presence-only data for modelling species distributions

(2012) J. Andrew Royle et al.   Methods in Ecology and Evolution

Does accounting for imperfect detection improve species distribution models?

(2011) Christopher T. Rota et al.   ECOGRAPHY

A Bayesian Model for Presence-Only Semicontinuous Data, With Application to Prediction of Abundance of Taxus Baccata in Two Italian Regions

(2011) B. Di Lorenzo et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

Comparative interpretation of count, presence-absence and point methods for species distribution models

(2011) Geert Aarts et al.   Methods in Ecology and Evolution

Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology

(2010) David I. Warton et al.   Annals of Applied Statistics

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections

(2010) Brett T. McClintock et al.   ECOLOGY

Experimental Investigation of Observation Error in Anuran Call Surveys

(2010) Brett T. McClintock et al.   JOURNAL OF WILDLIFE MANAGEMENT

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

(2009) Jane Elith et al.   Annual Review of Ecology Evolution and Systematics

Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

(2009) Steven J. Phillips et al.   ECOLOGICAL APPLICATIONS

Presence-Only Data and the EM Algorithm

(2008) Gill Ward et al.   BIOMETRICS