Accounting for spatially biased sampling effort in presence-only species distribution modelling

Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias

(2014) Yoan Fourcade et al.   PLoS One

Virtual species distribution models

(2014) Jennifer A. Miller   PROGRESS IN PHYSICAL GEOGRAPHY

How to assess the prediction accuracy of species presence-absence models without absence data?

(2013) Wenkai Li et al.   ECOGRAPHY

The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models

(2013) Mindy M. Syfert et al.   PLoS One

Assessing the Primary Data Hosted by the Spanish Node of the Global Biodiversity Information Facility (GBIF)

(2013) Javier Otegui et al.   PLoS One

Selecting pseudo-absences for species distribution models: how, where and how many?

(2012) Morgane Barbet-Massin et al.   Methods in Ecology and Evolution

Geographical patterns in prediction errors of species distribution models

(2011) Jan Hanspach et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling

(2011) Alberto Jiménez-Valverde   GLOBAL ECOLOGY AND BIOGEOGRAPHY

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

Defining optimal sampling effort for large-scale monitoring of invasive alien plants: a Bayesian method for estimating abundance and distribution

(2011) Cang Hui et al.   JOURNAL OF APPLIED ECOLOGY

Incorporating uncertainty in predictive species distribution modelling

(2011) C. M. Beale et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Accounting for uncertainty when mapping species distributions: The need for maps of ignorance

(2011) Duccio Rocchini et al.   PROGRESS IN PHYSICAL GEOGRAPHY

Fine-scale environmental variation in species distribution modelling: regression dilution, latent variables and neighbourly advice

(2011) Greg J. McInerny et al.   Methods in Ecology and Evolution

Geographic sampling bias in the South African Frog Atlas Project: implications for conservation planning

(2010) Emily A. Botts et al.   BIODIVERSITY AND CONSERVATION

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

(2010) Jorge M. Lobo et al.   ECOGRAPHY

Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data

(2010) Elizabeth H. Boakes et al.   PLOS BIOLOGY

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

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

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

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

Not as good as they seem: the importance of concepts in species distribution modelling

(2008) Alberto Jiménez-Valverde et al.   DIVERSITY AND DISTRIBUTIONS

Historical bias in biodiversity inventories affects the observed environmental niche of the species

(2008) Joaquín Hortal et al.   OIKOS

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

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