Hanna Meyer & Marvin Ludwig
Target audience
- you are fluent in the basic R syntax
- it is beneficial (but not required) if you have worked with spatial data before
- you want to incorporate spatial data into your R workflow
Why R as GIS?
- open source
- flexible (statistical) analysis
- flexible visualizations
- easy automization of processes and workflows
- complete reproducibility
- ONE platform for data acquisition, (spatial) processing, (spatial) statistical analysis, visualization
Aims of this course
- get to know R packages for spatial data analysis
- handling raster and vector data in R
- using R as a “meta language” to control dedicated GIS software
- developing workflows in R that involve spatial data