Introduction To Spatial Analysis Of Ecological Data Using R (ISPEPR) - Pre-recorded - work at you own pace
We don't have a live edition of ' <https://www.prstats.org/course/making-beautiful-and-effective-maps-in-r-maprpr/>Introduction To Spatial Analysis Of Ecological Data Using R' <https://www.prstats.org/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispepr/> scheduled, but you can still complete this course by watching the recordings. *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 The aim of the course is to introduce you to a spatial data processing, analysis, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures, computer exercises and case studies. By the end of the course participants should: - Understand the basic concepts of spatial data analysis - Know R?s spatial capabilities - Understand how to import a range of spatial data sources into R - Be confident with using R?s command-line interface (CLI) for spatial data processing - Be able to perform a range of attribute operations (e.g. subsetting and joining), spatial operations (e.g. distance relations, topological relations), and geometry operations (e.g. clipping, aggregations) - Understand coordinate reference systems (CRSs), be able to decide which CRS to use, and how to reproject spatial data - Know how to visualize the results of a spatial analysis in the form of static and interactive maps - Have the confidence to apply spatial analysis skills to their own projects https://www.prstats.org/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispepr/ Our full list of recorded courses can be found here <https://www.prstats.org/recorded-courses/> Please email oliverhooker at prstatistics.com with any questions.
Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]]