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 | 15801* | 2006 |
A working guide to boosted regression trees J Elith, JR Leathwick, T Hastie Journal of animal ecology 77 (4), 802-813, 2008 | 6621 | 2008 |
dismo: Species distribution modeling RJ Hijmans, S Phillips, J Leathwick, J Elith R package version 0.7-17, 2012 | 3582* | 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 | 3198 | 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 | 729 | 2006 |
GRASP: generalized regression analysis and spatial prediction A Lehmann, JMC Overton, JR Leathwick Ecological modelling 157 (2-3), 189-207, 2002 | 655 | 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 | 567 | 2006 |
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 | 469* | 2002 |
Land Environments of New Zealand JR Leathwick, G Wilson, D Rutledge, P Wardle, F Morgan, K Johnston, ... David Bateman, 2003 | 459 | 2003 |
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 | 438 | 2005 |
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 | 414 | 2007 |
Presence-only data and the EM algorithm G Ward, T Hastie, S Barry, J Elith, JR Leathwick Biometrics 65 (2), 554-563, 2009 | 395 | 2009 |
Competitive interactions between tree species in New Zealand's old‐growth indigenous forests JR Leathwick, MP Austin Ecology 82 (9), 2560-2573, 2001 | 298 | 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 | 262 | 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 | 247 | 2008 |
A method for spatial freshwater conservation prioritization A Moilanen, J Leathwick, J Elith Freshwater Biology 53 (3), 577-592, 2008 | 237 | 2008 |
Are New Zealand's Nothofagus species in equilibrium with their environment? JR Leathwick Journal of Vegetation Science 9 (5), 719-732, 1998 | 234 | 1998 |
Boosted Regression Trees for ecological modeling J Elith, J Leathwick R Documentation. Available online: https://cran. r-project. org/web/packages …, 2017 | 229 | 2017 |
The Zonation framework and software for conservation prioritization A Moilanen, H Kujala, J Leathwick Spatial Conservation Prioritization, 196-210, 2009 | 217 | 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 | 213 | 2012 |