David Warton

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Francis KC HuiResearch School of Finance, Actuarial Studies & Statistics, Australian National UniversityVerified email at anu.edu.au
Daniel S. FalsterUniversity of New South WalesVerified email at unsw.edu.au
Sara TaskinenUniversity Lecturer, University of JyväskyläVerified email at jyu.fi
Mark WestobyMacquarie University, SydneyVerified email at mq.edu.au
Ian J. WrightWestern Sydney University (previously at Macquarie University)Verified email at westernsydney.edu.au
Angela MolesUniversity of New South WalesVerified email at unsw.edu.au
Stephen T WrightData ScientistVerified email at genworth.com.au
Ian W RennerUniversity of NewcastleVerified email at newcastle.edu.au
Jenni NikuResearcherVerified email at jyu.fi
Scott FosterCSIROVerified email at csiro.au
Peter ReichUniversity of Minnesota and University of MichiganVerified email at umn.edu
Yi (Alice) WangDongguan University of TechnologyVerified email at ieee.org
Trevor HastieProfessor of Statistics, Stanford UniversityVerified email at stanford.edu
Gordana PopovicUNSW SydneyVerified email at unsw.edu.au
Jane ElithProfessor, University of MelbourneVerified email at unimelb.edu.au
Gurutzeta Guillera-ArroitaPyrenean Institute of Ecology (CSIC)Verified email at ipe.csic.es
Heloise GibbLaTrobe University, AustraliaVerified email at latrobe.edu.au
Daniel RampAssociate Professor, Centre for Compassionate ConservationVerified email at uts.edu.au
Hendrik PoorterEcophysiologist, Forschungszentrum Jülich (FZJ ) / Macquarie UniversityVerified email at fz-juelich.de
J Hans C CornelissenProfessor of Ecology, VU University AmsterdamVerified email at vu.nl

David Warton

Professor of Ecological Statistics, The University of New South Wales

Verified email at maths.unsw.edu.au - Homepage

Ecological statistics statistical ecology multivariate analysis species distribution modelling


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Bivariate line‐fitting methods for allometry DI Warton, IJ Wright, DS Falster, M Westoby Biological Reviews 81 (2), 259-291, 2006	2294	2006
The arcsine is asinine: the analysis of proportions in ecology DI Warton, FKC Hui Ecology 92 (1), 3-10, 2011	2270	2011
smatr 3–an R package for estimation and inference about allometric lines DI Warton, RA Duursma, DS Falster, S Taskinen Methods in Ecology and Evolution 3, 257-259, 2012	1361	2012
mvabund–an R package for model-based analysis of multivariate abundance data YI Wang, U Naumann, ST Wright, DI Warton Methods in Ecology and Evolution 3 (3), 471-474, 2012	1299*	2012
Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure DR Roberts, V Bahn, S Ciuti, MS Boyce, J Elith, G Guillera‐Arroita, ... Ecography 40 (8), 913-929, 2017	1075	2017
Distance‐based multivariate analyses confound location and dispersion effects DI Warton, ST Wright, Y Wang Methods in Ecology and Evolution 3, 89-101, 2012	991	2012
Modulation of leaf economic traits and trait relationships by climate IJ Wright, PB Reich, JHC Cornelissen, DS Falster, PK Groom, K Hikosaka, ... Global Ecology and Biogeography 14 (5), 411-421, 2005	881	2005
Assessing the generality of global leaf trait relationships IJ Wright, PB Reich, JHC Cornelissen, DS Falster, E Garnier, K Hikosaka, ... New Phytologist 166 (2), 485-496, 2005	856	2005
Global patterns in plant height AT Moles, DI Warton, L Warman, NG Swenson, SW Laffan, AE Zanne, ... Journal of ecology 97 (5), 923-932, 2009	725	2009
SMATR: Standardised major axis tests and routines, ver 2.0 DS Falster, DI Warton, IJ Wright URL http://www. bio. mq. edu. au/ecology/SMATR, 2006	674*	2006
So many variables: joint modeling in community ecology DI Warton, FG Blanchet, RB O’Hara, O Ovaskainen, S Taskinen, ... Trends in ecology & evolution 30 (12), 766-779, 2015	603	2015
Global patterns of leaf mechanical properties Y Onoda, M Westoby, PB Adler, AMF Choong, FJ Clissold, ... Ecology Letters, 2011	463	2011
Equivalence of MAXENT and Poisson point process models for species distribution modeling in ecology IW Renner, DI Warton Biometrics 69 (1), 274–281, 2013	449	2013
Common slope tests for bivariate errors‐in‐variables models DI Warton, NC Weber Biometrical Journal 44 (2), 161-174, 2002	366*	2002
Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology DI Warton, LC Shepherd The Annals of Applied Statistics 4 (3), 1383-1402, 2010	353	2010
Point process models for presence‐only analysis IW Renner, J Elith, A Baddeley, W Fithian, T Hastie, SJ Phillips, G Popovic, ... Methods in Ecology and Evolution 6 (4), 366-379, 2015	338	2015
mvabund: Statistical methods for analysing multivariate abundance data Y Wang, U Naumann, D Eddelbuettel, J Wilshire, D Warton, J Byrnes, ... R package version 3 (3), 2017	292*	2017
Modelling of wildlife fatality hotspots along the snowy mountain highway in New South Wales, Australia D Ramp, J Caldwell, KA Edwards, D Warton, DB Croft Biological Conservation 126 (4), 474-490, 2005	278	2005
The fourth‐corner solution–using predictive models to understand how species traits interact with the environment AM Brown, DI Warton, NR Andrew, M Binns, G Cassis, H Gibb Methods in Ecology and Evolution 5 (4), 344-352, 2014	264	2014
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels A Norberg, N Abrego, FG Blanchet, FR Adler, BJ Anderson, J Anttila, ... Ecological monographs 89 (3), e01370, 2019	256	2019

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