Match!
Francis K. C. Hui
Australian National University
41Publications
14H-index
2,019Citations
Publications 41
Newest
#1Christopher R. Haak (UMass: University of Massachusetts Amherst)H-Index: 6
#2Francis K. C. Hui (ANU: Australian National University)H-Index: 14
Last.Andy J. Danylchuk (UMass: University of Massachusetts Amherst)H-Index: 28
view all 4 authors...
Source
#1Jenni Niku (University of Jyväskylä)H-Index: 1
#2Francis K. C. Hui (ANU: Australian National University)H-Index: 14
Last.David I. Warton (UNSW: University of New South Wales)H-Index: 35
view all 4 authors...
Source
#1Gordana C. Popovic (UNSW: University of New South Wales)H-Index: 4
#2David I. Warton (UNSW: University of New South Wales)H-Index: 35
Last.Angela T. Moles (UNSW: University of New South Wales)H-Index: 38
view all 5 authors...
Source
#1Anna Norberg (UH: University of Helsinki)H-Index: 5
#2Nerea Abrego (UH: University of Helsinki)H-Index: 12
Last.Otso Ovaskainen (UH: University of Helsinki)H-Index: 50
view all 35 authors...
A large array of species distribution model (SDM) approaches has been developed for explaining and predicting the occurrences of individual species or species assemblages. Given the wealth of existing models, it is unclear which models perform best for interpolation or extrapolation of existing data sets, particularly when one is concerned with species assemblages. We compared the predictive performance of 33 variants of 15 widely applied and recently emerged SDMs in the context of multispecies ...
14 CitationsSource
#1Mathias W. ToblerH-Index: 1
#2Marc Kéry (Swiss Ornithological Institute)H-Index: 36
Last.Thomas Sattler (Swiss Ornithological Institute)H-Index: 4
view all 6 authors...
1 CitationsSource
#1Amaia AstarloaH-Index: 1
#2Maite LouzaoH-Index: 19
Last.Guillem ChustH-Index: 27
view all 8 authors...
1 CitationsSource
#1Jenni NikuH-Index: 1
#2Wesley BrooksH-Index: 1
Last.David I. WartonH-Index: 35
view all 6 authors...
1 CitationsSource
#1Francis K. C. Hui (ANU: Australian National University)H-Index: 14
#2Samuel Müller (USYD: University of Sydney)H-Index: 14
Last.Alan H. Welsh (ANU: Australian National University)H-Index: 32
view all 3 authors...
Source
#1Gordana C. PopovicH-Index: 4
#2David I. WartonH-Index: 35
Last.Angela T. MolesH-Index: 38
view all 5 authors...
Forest cover measurements were collected at 1246 native forest sites that form part of a network of permanent 20 x 20 m plots spread throughout New Zealand. A total of 1831 plant species were present in these plots, with the most common being herbs, graminoids, ferns, shrubs and trees. Plant cover (in ordinal categories) was assessed for each species in several tiers at different heights. The cover data we analysed ( NZ_native_forest_cover.csv) were the maximum cover recorded over all the tiers ...
Source
#1Francis K. C. HuiH-Index: 14
Last.David I. WartonH-Index: 35
view all 3 authors...
Generalized linear latent variable models (GLLVMs) offer a general framework for flexibly analyzing data involving multiple responses. When fitting such models, two of the major challenges are selecting the order, that is, the number of factors, and an appropriate structure for the loading matrix, typically a sparse structure. Motivated by the application of GLLVMs to study marine species assemblages in the Southern Ocean, we propose the Ordered Factor LASSO or OFAL penalty for order selection a...
Source
12345