Spatio-Ecological Data Analysis using R and Rstudio (SEAR01)
Spatio-Ecological Data Analysis using R and Rstudio (SEAR01) https://www.prstats.org/course/spatio-ecological-data-analysis-using-r-and-rstudio-sear01/ April 22nd - 26th 2024 Please feel free to share! Spatial ecology is now recognised as one of the founding disciplines to link spatial patterns to ecological changes in space and time. This course mainly focuses on the application of free and open source algorithms ? which ensure high reproducibility and robustness of ecological analysis ? to study ecological change in space and time, due to both human impact and global change. Particular emphasis will be given to: 1) population ecology: how organisms spread in space and how to study it by point pattern analysis, 2) community ecology: how communities are structured and how to study such structure by multivariate analysis; 3) monitoring species distributions and their change in space and time by species distribution modelling; 4) monitoring ecosystem change in space and time by remote sensing data. The course is dramatically practical giving space to exercises and additional ecological issues provided by the professor and suggested by students. We will make use of R which is one of the main free and open source software for ecological modelling. By the end of the course, participants will: ? be able to create their own projects on monitoring of spatial and temporal changes of species and ecosystems at different spatial scales ? be able to report in LaTeX and R Markdown the achieved results Please email oliverhooker at prstatistics.com with any questions.
Oliver Hooker PhD. PR stats [[alternative HTML version deleted]]