Accounting for imperfect detection and survey bias in statistical analysis of presence-only data
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Accounting for imperfect detection and survey bias in statistical analysis of presence-only data
Authors
Keywords
-
Journal
GLOBAL ECOLOGY AND BIOGEOGRAPHY
Volume 23, Issue 12, Pages 1472-1484
Publisher
Wiley
Online
2014-08-08
DOI
10.1111/geb.12216
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Finite-sample equivalence in statistical models for presence-only data
- (2013) William Fithian et al. Annals of Applied Statistics
- Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology
- (2013) Ian W. Renner et al. BIOMETRICS
- On estimating probability of presence from use–availability or presence–background data
- (2013) Steven J. Phillips et al. ECOLOGY
- Imperfect detection impacts the performance of species distribution models
- (2013) José J. Lahoz-Monfort et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
- Using species distribution and occupancy modeling to guide survey efforts and assess species status
- (2013) William E. Peterman et al. JOURNAL FOR NATURE CONSERVATION
- Imperfect detection is the rule rather than the exception in plant distribution studies
- (2013) Guoke Chen et al. JOURNAL OF ECOLOGY
- Bayes and Empirical Bayes Estimators of Abundance and Density from Spatial Capture-Recapture Data
- (2013) Robert M. Dorazio PLoS One
- The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling
- (2012) Mary Susanne Wisz et al. BIOLOGICAL REVIEWS
- Predicting the Geographic Distribution of a Species from Presence-Only Data Subject to Detection Errors
- (2012) Robert M. Dorazio BIOMETRICS
- How do species interactions affect species distribution models?
- (2012) William Godsoe et al. ECOGRAPHY
- Conditional likelihood approach for analyzing single visit abundance survey data in the presence of zero inflation and detection error
- (2012) Péter Sólymos et al. ENVIRONMETRICS
- A niche for biology in species distribution models
- (2012) Steven I. Higgins et al. JOURNAL OF BIOGEOGRAPHY
- Correlation and process in species distribution models: bridging a dichotomy
- (2012) Carsten F. Dormann et al. JOURNAL OF BIOGEOGRAPHY
- Application of Branching Models in the Study of Invasive Species
- (2012) Earvin Balderama et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Selecting pseudo-absences for species distribution models: how, where and how many?
- (2012) Morgane Barbet-Massin et al. Methods in Ecology and Evolution
- Presence-only modelling using MAXENT: when can we trust the inferences?
- (2012) Charles B. Yackulic et al. Methods in Ecology and Evolution
- Occupancy in continuous habitat
- (2012) Murray G. Efford et al. Ecosphere
- Inference about density and temporary emigration in unmarked populations
- (2011) Richard B. Chandler et al. ECOLOGY
- Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents
- (2011) W. D. Kissling et al. JOURNAL OF BIOGEOGRAPHY
- 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
- Using presence-only and presence-absence data to estimate the current and potential distributions of established invasive species
- (2010) Andrew M. Gormley et al. JOURNAL OF APPLIED ECOLOGY
- Testing the accuracy of species distribution models using species records from a new field survey
- (2010) Tim Newbold et al. OIKOS
- 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
- Modelling the spatial structure of forest stands by multivariate point processes with hierarchical interactions
- (2009) Pavel Grabarnik et al. ECOLOGICAL MODELLING
- Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies
- (2007) D. L. Borchers et al. BIOMETRICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started