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