Title: Statistical Analyses for Correlated Data: Spatial Correlation and Phylogenetic Correlation

 

Type: Workshop

 

Venue: Xishuangbanna Tropical Botanical Garden (XTBG), Chinese Academy of Sciences (CAS),  in the Xishuangbanna Dai Autonomous Prefecture, Yunnan Province, China

 

Dates:  30 Jan – 2 Feb 2018 (4 days)

 

Organiser: Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences

 

Registration: Registration is open until 20 Jan 2018

 

Sponsor: Science Communication and Training Department of XTBG

 

Fee: No registration fee will be charged, and we do not take care of accommodation (hotel and meals), and transportation etc..

 

About: Correlated data occur in every area of ecology and evolution. For example, when surveying bird populations across many sites, the observations from the same site are likely to be correlated, because they are taken at the same location. Also, when analysing the distribution of trait values among species, it is necessary to consider the phylogenetic relationships among species, since the values for closely related species are likely to be correlated. If data are correlated, and if you do not account for the correlation in your statistical analyses, then your results are likely to be wrong.

 

The goal of the workshop is to explain the statistical problems presented by correlated data and their solutions.  Generalized linear mixed models (GLMMs) and phylogenetic models will be introduced by presenting data and problems for participants to solve in R.

 

Thus participants are expected to have experience and be able to understand R codes.

 

Instructor: Professor Anthony R. Ives, University of Wisconsin-Madison, USA