ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR07)
https://www.prstats.org/course/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr07/ <https://www.prstats.org/course/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr06/> Use discount code 'JAN25' to make the most of our Jan sale worth 20% off all courses *31st - March - 4th April 2025* Please feel free to share! We encourage attendees to bring their own data, you will receive opportunities to discuss your data with the instructor throughout the course, if you would like guideline on how to organize your data prior to the course please ask oliverhooo...@prstatistica.com This course is suitable for researchers (PhD and MSc students, post-docs, primary investigators) and environmental professionals who are interested in implementing best practices and state-of-the-art methods for modelling species’ distributions or ecological niches, with applications to biogeography, spatial ecology, biodiversity conservation and related disciplines. This 5-day course will cover R concepts, methods, and tools that can be used to analyze community ecology data. The course will review data processing techniques relevant to multivariate data sets. We will cover diversity indices, distance measures and distance-based multivariate methods, clustering, classification and ordination techniques using the R package VEGAN. We will use real-world empirical data sets to motivate analyses, such as describing patterns along gradients of environ-mental or anthropogenic disturbances, and quantifying the effects of continuous and discrete predictors. We will emphasise visualisation and reproducible workflows as well as good programming practices. The modules will consist of introductory lectures, guided computer coding, and participant exercises. The course is intended for intermediate users of R who are interested in community ecology, particularly in the areas of terrestrial and wetland ecology, microbial ecology, and natural resource management. You are strongly encouraged to use your own data sets (they should be clean and already structured, see the document: “recommendation if you participate with your data”. *Classes will run from 08:00 – 13:00 for the morning lecture and 14:00 – 16:00 for the practical (UK time) with an evening time session tbc for US, Canada etc. attendees. The course will be recorded and made available each day and will remain available for 28 days after the course for you to revisit any lectures.* DAY 1 • Module 1: Introduction to community data analysis, basics of programming in R • Module 2: Diversity analysis, species-abundance distributions DAY 2 • Module 3: Distance and transformation measures • Module 4: Clustering and classification analysis DAY 3 • Module 5: Unconstrained ordinations: Principal Component Analysis • Module 6: Other unconstrained ordinations DAY 4 • Module 7: Constrained ordinations: RDA and other canonical analysis • Module 8: Statistical tests for multivariate data and variation partitioning DAY 5 • Module 9: Overview of Spatial analysis, and recent Hierarchical Modeling of Species Communities (HMSC) methods • Modules 10: Special topics and discussion, analyzing participants’ data. We also offer an introductory version of this course if you fell this is too advanced ONLINE COURSE – Community Analytics in Ecology and Evolutionary Biology for Beginners (CAFB01) https://www.prstats.org/course/community-analytics-in-ecology-and-evolutionary-biology-for-beginners-cafb01/ Upcoming courses ONLINE COURSE – Time Series Analysis and Forecasting using R and Rstudio (TSAF01) This course will be delivered live <https://www.prstats.org/course/time-series-analysis-and-forecasting-using-r-and-rstudio-tsaf01/> ONLINE COURSE – Machine Vision using Python (MVUP01) This course will be delivered live <https://www.prstats.org/course/machine-vision-using-python-mvup01/> ONLINE COURSE – Machine Learning using Python (MLUP01) This course will be delivered live <https://www.prstats.org/course/machine-learning-using-python-mlup01/> ONLINE COURSE – Species Distribution Modelling With Bayesian Statistics Using R (SDMB06) This course will be delivered live <https://www.prstats.org/course/online-course-species-distribution-modelling-with-bayesian-statistics-using-r-sdmb06/> ONLINE COURSE – Remote sensing data analysis and coding in R for ecology (RSDA01) This course will be delivered live <https://www.prstats.org/course/remote-sensing-data-analysis-and-coding-in-r-for-ecology-rsda01/> ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM08) This course will be delivered live <https://www.prstats.org/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm08/> ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR09) This course will be delivered live <https://www.prstats.org/course/introduction-to-mixed-models-using-r-and-rstudio-immr09/> ONLINE COURSE – Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM11) This course will be delivered live <https://www.prstats.org/course/online-course-stable-isotope-mixing-models-using-siber-siar-mixsiar-simm11/> ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR07) This course will be delivered live <https://www.prstats.org/course/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr07/> ONLINE COURSE – Movement Ecology Using R(MOVE07) This course will be delivered live <https://www.prstats.org/course/movement-ecology-using-rmove07/> ONLINE COURSE – Bioacoustics Data Analysis using R (BIAC05) This course will be delivered live <https://www.prstats.org/course/bioacoustics-data-analysis-biac05/> -- Oliver Hooker PhD. PR stats To unsubscribe from this list please go to https://community.esa.org/confirm/?u=RhPWqPxFwODKvbkiT32nkIqRrsiSgulp
