john leathwick
john leathwick
Principal Science Advisor, Department of Conservation, NZ
Verified email at
Cited by
Cited by
Novel methods improve prediction of species’ distributions from occurrence data
N Elith*, J., H. Graham*, C., P. Anderson, R., Dudík
Ecography 29 (2), 129-151, 2006
A working guide to boosted regression trees
J Elith, JR Leathwick, T Hastie
Journal of animal ecology 77 (4), 802-813, 2008
dismo: Species distribution modeling
RJ Hijmans, S Phillips, J Leathwick, J Elith
R package version 0.7-17, 2012
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
SJ Phillips, M Dudík, J Elith, CH Graham, A Lehmann, J Leathwick, ...
Ecological applications 19 (1), 181-197, 2009
Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees
JR Leathwick, J Elith, MP Francis, T Hastie, P Taylor
Marine Ecology Progress Series 321, 267-281, 2006
GRASP: generalized regression analysis and spatial prediction
A Lehmann, JMC Overton, JR Leathwick
Ecological modelling 157 (2-3), 189-207, 2002
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
JR Leathwick, J Elith, T Hastie
Ecological modelling 199 (2), 188-196, 2006
Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish
JR Leathwick, D Rowe, J Richardson, J Elith, T Hastie
Freshwater Biology 50 (12), 2034-2052, 2005
Land environments of New Zealand: a technical guide
JR Leathwick, F Morgan, G Wilson, D Rutledge, M McLeod, K Johnston
Ministry for the Environment, 2002
Land Environments of New Zealand
JR Leathwick, G Wilson, D Rutledge, P Wardle, F Morgan, K Johnston, ...
David Bateman, 2003
Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines
J Elith, J Leathwick
Diversity and distributions 13 (3), 265-275, 2007
Presence-only data and the EM algorithm
G Ward, T Hastie, S Barry, J Elith, JR Leathwick
Biometrics 65 (2), 554-563, 2009
Competitive interactions between tree species in New Zealand's old‐growth indigenous forests
JR Leathwick, MP Austin
Ecology 82 (9), 2560-2573, 2001
The evaluation strip: a new and robust method for plotting predicted responses from species distribution models
J Elith, S Ferrier, F Huettmann, J Leathwick
Ecological modelling 186 (3), 280-289, 2005
Novel methods for the design and evaluation of marine protected areas in offshore waters
J Leathwick, A Moilanen, M Francis, J Elith, P Taylor, K Julian, T Hastie, ...
Conservation Letters 1 (2), 91-102, 2008
A method for spatial freshwater conservation prioritization
A Moilanen, J Leathwick, J Elith
Freshwater Biology 53 (3), 577-592, 2008
Boosted Regression Trees for ecological modeling
J Elith, J Leathwick
R Documentation. Available online: https://cran. r-project. org/web/packages …, 2017
Are New Zealand's Nothofagus species in equilibrium with their environment?
JR Leathwick
Journal of Vegetation Science 9 (5), 719-732, 1998
The Zonation framework and software for conservation prioritization
A Moilanen, H Kujala, J Leathwick
Spatial Conservation Prioritization, 196-210, 2009
Quantifying relationships between land‐use gradients and structural and functional indicators of stream ecological integrity
JE Clapcott, KJ Collier, RG Death, EO Goodwin, JS Harding, D Kelly, ...
Freshwater Biology 57 (1), 74-90, 2012
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