[R-sig-eco] Short Course: Hierarchical Modelling of Species Communities with the Hmsc R-package (Sydney Australia, June 18-19)

David Warton d@v|d@w@rton @end|ng |rom un@w@edu@@u
Tue Feb 18 02:29:58 CET 2020


Hierarchical Modelling of Species Communities with the Hmsc R-package
UNSW Sydney, Australia
June 18-19 2020

Presenters: Otso Ovaskainen (Professor, University of Helsinki) and Jari Oksanen (Emeritus Professor, University of Helsinki)

Hierarchical Modelling of Species Communities (HMSC) is a joint species distribution modelling approach that enables one to integrate data on species abundances, environmental covariates, species traits, phylogenetic relationships, and the spatio-temporal context in which the data have been acquired (Ovaskainen et al. 2017, Ovaskainen and Abrego 2020). This course is aimed for students and researchers who are interested in analysing data on community ecology in a way that allows placing their results in the context of modern theory. The course covers a comprehensive treatment of HMSC, including both the technical detail of the statistical methods, as well as the ecological interpretation of the results. With the help of worked out examples, the participants learn how to conduct and interpret statistical analyses in practice with the R-package Hmsc (Tikhonov et al. 2020), providing a fast starting point for applying HMSC to their own data. The participants are also encouraged to bring also their own data so that they can get hands-on support on HMSC-analyses of their own projects.

Registration is free!  Sign up here:
https://www.eventbrite.com.au/e/short-course-hierarchical-modelling-of-species-communities-with-the-r-package-hmsc-tickets-94758761005






Professor David Warton
School of Mathematics and Statistics, Evolution & Ecology Research Centre, Centre for Ecosystem Science
UNSW Sydney
NSW 2052 AUSTRALIA
phone +61(2) 9385 7031
fax +61(2) 9385 7123

http://www.eco-stats.unsw.edu.au<http://www.eco-stats.unsw.edu.au/>


	[[alternative HTML version deleted]]



More information about the R-sig-ecology mailing list