Remote sensing data analysis and coding in R for ecology (RSDAPR) Now available as a recorded on demand course
Delivered by Prof. Duccio Rochini *This is ideal for;* People with busy schedules who can’t take long periods off work to attend workshops. Allows attendees to work at their own pace with email support. Suitable for people from all timezones. The recordings are taken from our Live Online Courses which ensures all materials and software packages are constantly up-to-date. <goog_284544381> https://www.prstats.org/course/online-course-remote-sensing-data-analysis-and-coding-in-r-for-ecology-rsdapr/ Ecological remote sensing 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 by remotely sensed imagery. Particular emphasis will be given to: 1) remote sensing principles, 2) remotely sensed data gathering and analysis, 3) 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 ecosystems with remote sensing data • be able to report in LaTeX and R Markdown the achieved results Please email oliverhoo...@prstatistics.com with any questions -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
