HEAD

The aim of this course is to familiarize participants with spatial analysis with R. All materials by Marko Kallio (Aalto University). Last instructor led course was on 10-12-5.2023: https://ssl.eventilla.com/event/rspatial_23

• D1S1 Handling and plotting vector data in R
• D1S2 Handling and plotting cont.
• D1S3 Spatial operations (intersection, clipping, conversions etc)
• D1S4 Spatial operations cont.

• D2S1 Spatial analysis of vector data (clustering, density surfaces, autocorrelation)
• D2S2 Spatial analysis cont.
• D2S3 Visualizing spatial data

• D2S1 Raster basics with R
• D3S2 Raster data manipulation
• D3S3 Map algebra
• D3S4 Spatial modelling with raster data

• Vector data exercises (Days 1 and 2) should be done in the given order, with possibility to skip to visualization before finishing some of the sessions before it.
• Raster data exercises (Day 3) can be done as own module, without doing the vector data exercises.
• Use CSC Notebooks as exercise environment,
  • Start Spatial data analysis with R public application, which has a copy of this repository.
  • CSC Notebooks has rather limited memory, so after each session restart R from Session menu.
  • The public notebook does not save any files at session end, so export any files you want before finishing.

• Basics of geoinformatics and geostatistics
• Basic use of R, no earlier experience with R spatial packages is needed. For self-study Data analysis with R course material can be used.

• Other external learning materials

myrepo/main