Related references
Note: Only part of the references are listed.Harnessing the world's biodiversity data: promise and peril in ecological niche modeling of species distributions
Robert P. Anderson
BLAVATNIK AWARDS FOR YOUNG SCIENTISTS 2011 (2012)
Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model
Robert J. Hijmans
ECOLOGY (2012)
Uses and misuses of bioclimatic envelope modeling
Miguel B. Araujo et al.
ECOLOGY (2012)
Comparative interpretation of count, presence-absence and point methods for species distribution models
Geert Aarts et al.
METHODS IN ECOLOGY AND EVOLUTION (2012)
Likelihood analysis of species occurrence probability from presence-only data for modelling species distributions
J. Andrew Royle et al.
METHODS IN ECOLOGY AND EVOLUTION (2012)
Assessing transferability of ecological models: an underappreciated aspect of statistical validation
Seth J. Wenger et al.
METHODS IN ECOLOGY AND EVOLUTION (2012)
A statistical explanation of MaxEnt for ecologists
Jane Elith et al.
DIVERSITY AND DISTRIBUTIONS (2011)
Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models
Bruce L. Webber et al.
DIVERSITY AND DISTRIBUTIONS (2011)
Measuring and comparing the accuracy of species distribution models with presence-absence data
Canran Liu et al.
ECOGRAPHY (2011)
Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria
Dan L. Warren et al.
ECOLOGICAL APPLICATIONS (2011)
The crucial role of the accessible area in ecological niche modeling and species distribution modeling
Narayani Barve et al.
ECOLOGICAL MODELLING (2011)
Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent
Robert P. Anderson et al.
ECOLOGICAL MODELLING (2011)
Point pattern modelling for degraded presence-only data over large regions
Avishek Chakraborty et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2011)
POISSON POINT PROCESS MODELS SOLVE THE PSEUDO-ABSENCE PROBLEM FOR PRESENCE-ONLY DATA IN ECOLOGY
David I. Warton et al.
ANNALS OF APPLIED STATISTICS (2010)
Assessing the impacts of climate change and land transformation on Banksia in the South West Australian Floristic Region
Colin J. Yates et al.
DIVERSITY AND DISTRIBUTIONS (2010)
Modeling a spatially restricted distribution in the Neotropics: How the size of calibration area affects the performance of five presence-only methods
Joao G. R. Giovanelli et al.
ECOLOGICAL MODELLING (2010)
An evaluation of three statistical methods used to model resource selection
David M. Baasch et al.
ECOLOGICAL MODELLING (2010)
POC plots: calibrating species distribution models with presence-only data
Steven J. Phillips et al.
ECOLOGY (2010)
The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela
Robert P. Anderson et al.
JOURNAL OF BIOGEOGRAPHY (2010)
Maximum entropy, logistic regression, and species abundance
Fangliang He
OIKOS (2010)
Testing the accuracy of species distribution models using species records from a new field survey
Tim Newbold et al.
OIKOS (2010)
The art of modelling range-shifting species
Jane Elith et al.
METHODS IN ECOLOGY AND EVOLUTION (2010)
Taxonomist survey biases and the unveiling of biodiversity patterns
Pablo Sastre et al.
BIOLOGICAL CONSERVATION (2009)
Botanical richness and endemicity patterns of Borneo derived from species distribution models
Niels Raes et al.
ECOGRAPHY (2009)
Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
Steven J. Phillips et al.
ECOLOGICAL APPLICATIONS (2009)
Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?
Jeremy VanDerWal et al.
ECOLOGICAL MODELLING (2009)
Do pseudo-absence selection strategies influence species distribution models and their predictions? An information-theoretic approach based on simulated data
Mary S Wisz et al.
BMC ECOLOGY (2009)
Modeling of species distributions with Maxent:: new extensions and a comprehensive evaluation
Steven J. Phillips et al.
ECOGRAPHY (2008)
AUC: a misleading measure of the performance of predictive distribution models
Jorge M. Lobo et al.
GLOBAL ECOLOGY AND BIOGEOGRAPHY (2008)
Species distribution models and ecological theory: A critical assessment and some possible new approaches
Mike Austin
ECOLOGICAL MODELLING (2007)
The effect of sample size and species characteristics on performance of different species distribution modeling methods
Pilar A. Hernandez et al.
ECOGRAPHY (2006)
Building statistical models to analyze species distributions
AM Latimer et al.
ECOLOGICAL APPLICATIONS (2006)
Maximum entropy modeling of species geographic distributions
SJ Phillips et al.
ECOLOGICAL MODELLING (2006)
Very high resolution interpolated climate surfaces for global land areas
RJ Hijmans et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2005)
Evolution of diversity: the Cape flora
HP Linder
TRENDS IN PLANT SCIENCE (2005)
Selecting thresholds of occurrence in the prediction of species distributions
CR Liu et al.
ECOGRAPHY (2005)
New developments in museum-based informatics and applications in biodiversity analysis
CH Graham et al.
TRENDS IN ECOLOGY & EVOLUTION (2004)
Geographical sampling bias and its implications for conservation priorities in Africa
S Reddy et al.
JOURNAL OF BIOGEOGRAPHY (2003)
Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
MP Austin
ECOLOGICAL MODELLING (2002)
Evaluation of museum collection data for use in biodiversity assessment
WF Ponder et al.
CONSERVATION BIOLOGY (2001)
Share Paper
