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The WP3 virtual workshop on ocean timeseries data will take place online using Zoom on 15-18 June 2021. Taught by Pierre Legendre, Professor of Quantitative Ecology at Université de Montréal, founder of Numerical Ecology, and member of iAtlantic’s Science Council, the workshop blends live online practical exercises using the free programming language R, lectures, and help sessions with pre-recorded videos. This format enables us to run the workshop live in the mornings for participants in the western Atlantic, and during the afternoons for participants in the eastern Atlantic.
This page will host all the information and resources for the workshop. Participants will also be emailed a Workshop Booklet early in June to help them prepare and to get to know their co-participants and the organising team before we start.
Temporal change in marine ecosystems occurs over ecological to geological timescales. Exploring ocean timeseries helps us interpret past events such as regime shifts, community change and loss of species, but it also helps consider future ecosystem outcomes under climate change. Despite the multitude of approaches and methods we use to collect ocean timeseries data, we can employ a common set of statistical analyses to facilitate ecosystem assessments at larger scales, e.g., over an entire region or ocean basin scale.
The purpose of our workshop is to strengthen the capacity of marine scientists who already have an understanding of statistical tests and experience using R to employ robust statistical methods to visualise, analyse and explain drivers of change in ocean timeseries datasets in order to facilitate such ecosystem assessments.
Over the 4 days, we aim to cover visualisation and analysis of univariate and multivariate ocean timeseries data in, for example:
Participant numbers are restricted to 60. Participants should have at minimum at least a beginner’s level of confidence using R and elementary statistics as they will not be covered in the workshop. Participants will require R software to engage in the workshop – this can be freely downloaded from [Linux, Mac OS X or Windows users]: https://cran.r-project.org/
More information on workshop resources, background reading, etc will be posted here closer to the time.