Where is positional uncertainty a problem for species distribution modelling?

A per-pixel, non-stationary mixed model for empirical line atmospheric correction in remote sensing

(2012) N.A.S. Hamm et al.   REMOTE SENSING OF ENVIRONMENT

Sampling bias in geographic and environmental space and its effect on the predictive power of species distribution models

(2012) Nadia Bystriakova et al.   SYSTEMATICS AND BIODIVERSITY

Finessing atlas data for species distribution models

(2011) Aidin Niamir et al.   DIVERSITY AND DISTRIBUTIONS

Effects of geographical data sampling bias on habitat models of species distributions: a case study with steppe birds in southern Portugal

(2011) Pedro J. Leitão et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling

(2011) Babak Naimi et al.   JOURNAL OF BIOGEOGRAPHY

The uncertain nature of absences and their importance in species distribution modelling

(2010) Jorge M. Lobo et al.   ECOGRAPHY

Prospective sampling based on model ensembles improves the detection of rare species

(2010) Gwenaëlle Le Lay et al.   ECOGRAPHY

The effect of prevalence and its interaction with sample size on the reliability of species distribution models

(2009) A. Jiménez-Valverde et al.   COMMUNITY ECOLOGY

Effects of species and habitat positional errors on the performance and interpretation of species distribution models

(2009) Patrick E. Osborne et al.   DIVERSITY AND DISTRIBUTIONS

Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models

(2009) Jane Elith et al.   ECOGRAPHY

BIOMOD - a platform for ensemble forecasting of species distributions

(2009) Wilfried Thuiller et al.   ECOGRAPHY

The effect of species response form on species distribution model prediction and inference

(2009) Truly Santika et al.   ECOLOGICAL MODELLING

Modelling the responses of Andean and Amazonian plant species to climate change: the effects of georeferencing errors and the importance of data filtering

(2009) Kenneth J. Feeley et al.   JOURNAL OF BIOGEOGRAPHY

Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

(2008) Steven J. Phillips et al.   ECOGRAPHY

The performance of state-of-the-art modelling techniques depends on geographical distribution of species

(2008) Mathieu Marmion et al.   ECOLOGICAL MODELLING

Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach

(2008) Q. Guo et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY

Predicting species distributions across the Amazonian and Andean regions using remote sensing data

(2008) Wolfgang Buermann et al.   JOURNAL OF BIOGEOGRAPHY

AUC: a misleading measure of the performance of predictive distribution models

(2007) Jorge M. Lobo et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY