DEADLINE TO REGISTER 18TH AUGUST! ONLINE COURSE – Species Distribution Modelling With Bayesian Statistics Using R (SDMB05)
https://www.prstatistics.com/course/online-course-species-distribution-modelling-with-bayesian-statistics-in-r-sdmb05/ <https://www.prstatistics.com/course/online-course-species-distribution-modelling-with-bayesian-statistics-in-r-sdmb04/> 4th - 8th September 2023 Please feel free to share! ABOUT THIS COURSE Bayesian Additive Regression Trees (BART) are a powerful machine learning technique with very promising potential applications in ecology and biogeography in general, and in species distribution modelling (SDM) in particular. Unlike most other SDM methods, BART models can generally provide a well-balanced performance regarding both main aspects of predictive accuracy, namely discrimination (i.e. distinguishing presence from absence localities) and calibration (i.e., having predicted probabilities reflect the species' gradual occurrence frequencies). BART can generate accurate predictions without overfitting to noise or to particular cases in the data. As it is a cutting-edge technique in this field, BART is not yet routinely included in SDM workflows or in ensemble modelling packages. This course will include 1) an introduction or refresher on the essentials of the R language; 2) an introduction or refresher on species distribution modelling; 3) an overview of SDM methods of different complexity, including regression-based and machine-learning (both Bayesian and non-Bayesian) methods; 4) SDM building and block cross-validation focused on different aspects of model performance, including discrimination and calibration or reliability. We will use R packages 'embarcadero', 'fuzzySim' and 'modEvA' to see how BART can perform well when all these aspects are equally important, as well as to identify relevant predictors, map prediction uncertainty, plot partial dependence curves with Bayesian credible intervals, and map relative probability of presence regarding particular predictors. Students will apply all these techniques to their own species distribution data, or to example data that will be provided during the course. Please feel free to contact oliverhoo...@prstatistics.com with any questions. Upcoming courses <https://www.prstatistics.com/live-courses/> ONLINE COURSE – Reproducible and collaborative data analysis with R (RACR03) https://www.prstatistics.com/course/reproducible-and-collaborative-data-analysis-with-r-racr03/ ONLINE COURSE – Machine Learning with R (Intermediate – Advanced) (MLIA01) https://www.prstatistics.com/course/machine-learning-with-r-intermediate-advanced-mlia01/ ONLINE COURSE – Species Distribution Modelling With Bayesian Statistics Using R (SDMB05) https://www.prstatistics.com/course/online-course-species-distribution-modelling-with-bayesian-statistics-using-r-sdmb05/ ONLINE COURSE – Advanced Ecological Niche Modelling (ENM/SDM) Using R (ANMR02) https://www.prstatistics.com/course/advanced-ecological-niche-modelling-enm-sdm-using-r-anmr02/ ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR05) https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr05/ ONLINE COURSE – Path analysis, structural equations and causal inference for biologists (PSCB01) https://www.prstatistics.com/course/path-analysis-structural-equations-and-causal-inference-for-biologists-pscb01/ ONLINE COURSE – The Practice of RADseq: Population Genomics Analysis with Stacks (RADS02) https://www.prstatistics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rads02/ ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM06) https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm06/ ONLINE COURSE – Quantitative analysis of infrared spectroscopy data for soil and plant sciences (SPEC02) https://www.prstatistics.com/course/quantitative-analysis-of-infrared-spectroscopy-data-for-soil-and-plant-sciences-spec02/ ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR07) https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr07/ ONLINE COURSE – Model selection and model simplification (MSMS04) https://www.prstatistics.com/course/online-course-model-selection-and-model-simplification-msms04/ ONLINE COURSE – Data wrangling using R and Rstudio (DWRS03) https://www.prstatistics.com/course/data-wrangling-using-r-and-rstudio-dwrs03/ ONLINE COURSE – Data visualization with ggplot2 using R and Rstudio (DVGG04) https://www.prstatistics.com/course/data-visualization-with-ggplot2-using-r-and-rstudio-dvgg04/ -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
