Curtin University, Perth, Western Australia, Australia

Registration Details

Two workshops are offered (week 1 = basic, week 2 = advanced). Each workshop runs over 5 days (Monday – Friday, 08:30 to 17:30 on each day). There will be a mixture of lectures on key topics and computer lab sessions on published data sets. Participants will have the opportunity to discuss/analyse their own data sets in consultation with the presenter; dedicated time for this is provided on Friday of each week. Each participant will be given access to a desktop computer to complete practical computer lab sessions; they may also bring their own laptop. Software either may be purchased (at a discounted price – see below) or a free fully functional but time-limited version will be made available to registered participants for trial use during the workshop. Note that PRIMER is a Windows-only product, so Macs need to run a Windows emulation.

For more information please download and read the workshop documents listed in the blue box above. To register, please send your completed registration form to the PRIMER-e office at: [email protected]. Please send a separate individual registration form for each participant and contact the PRIMER-e office directly if you wish to receive a single invoice for multiple registrations. For information regarding on-site logistics contact the local organiser Prof Euan Harvey (Curtin University, [email protected]).

Week 1

Workshop on PRIMER version 7

Dr Mat Pawley

18 – 22 November 2019

This workshop provides an overview of statistical methods for non-parametric analysis of multivariate data, encapsulated in the software: PRIMER version 7. This workshop will be especially useful to those who are new to PRIMER. Important topics covered include: pre-treatment of data; resemblance measures for relating multivariate samples or species; similarity profiles (SIMPROF) for identifying structured groups of samples or species; cluster analyses (CLUSTER); ordination by principal components analysis (PCA); non-metric (and metric) multi-dimensional scaling (MDS); permutation tests on similarity matrices for structured (ANOSIM, RELATE) and unstructured (SIMPROF) cases; emphasis on species analyses; linking communities to abiotic data (BEST); biodiversity indices, including those that incorporate taxonomic/phylogenetic relationships among species; and the many graphical tools available for effective presentation and interpretation of results. Non-parametric statistics and permutation tests make the methods intuitively simple to understand. No prior background in statistics is assumed.

Week 2


Dr Adam N. H. Smith

2 – 6 December 2019

This workshop will cater primarily to those who have previously done a PRIMER workshop and/or have some considerable working experience using PRIMER, but are keen to learn about the latest developments in version 7. Important new tools include: shade plots with flexible ordering & clustering of axes; coherence plots to show species displaying statistically distinguishable response patterns; unconstrained binary or divisive flat clustering (as in k-means) along with SIMPROF tests; metric, threshold metric, non-metric or combined MDS in any dimensions; bootstrap averages to show variation among averages in metric MDS space; new plot types (bar, box, means, line, histogram, scatter, surface, shade) in 2-d or 3-d; animations of ordinations captured to video files; multi-factor and multi-variable segmented bubble plots in 2-d and 3-d; and much more…