Spatial data analysis with R

Link to this page: siili.rahtiapp.fi/Rspatial_23

---

Links

• Coursepage: https://ssl.eventilla.com/rspatial_23
• Materials and exercises: https://github.com/csc-training/r-spatial-course
• CSC Notebooks: https://notebooks.csc.fi/

---

Program

All times Helsinki summer time, that is EEST (UTC+3).

Wednesday 10.05.2023
9:00-10:30 Handling and plotting vector data in R
10:45-12:00 Handling and plotting cont.
13:00-14:30 Spatial operations (intersection, clipping, conversions etc)
14:45-16:00 Spatial operations cont.

Thursday 11.05.2023
9:00-10:30 Spatial analysis of vector data (clustering, density surfaces, autocorrelation)
10:45-12:00 Spatial analysis cont.
13:00-14:15 Visualizing spatial data
14:30-16:00 Raster basics with R

Friday 12.05.2023
9:00-10:30 Raster data manipulation
10:45-12:00 Map algebra
13:00-14:30 Spatial modelling with raster data
14:45-15:30 Intro Spatio-Temporal Asset Catalogs (STAC) and how to use them from R. Kylli Ek (CSC)
15:30-16:00 Mini-intro to possibilities of using R in CSC's supercomputer Puhti. Samantha Wittke (CSC)

---

Course environment

1. Go to https://notebooks.csc.fi/

2. Finnish university and research institute users should be able to login with Haka or VIRTU. For users from non-Finnish institutions we will provide a separate username and password during the course (“Special Login”)

3. In the Notebooks dashboard click the “Join workspace” button in the upper left corner, and copy-paste there the join code rsp-b7bij1x1

4. You should now see "Spatial data analysis with R" RStudio Notebook appear in the list: start the application (opens in new tab).

5. Find the terminal tab, next to the console tab within RStudio.

6. Switch to my-work directory and copy the course materials there:

cd my-work
git clone https://github.com/csc-training/r-spatial-course.git

7. You can now find the course materials from the Files panel under my-work/r-spatial-course.

Own course environment (optional!)

If you want to set up your own course environment on your own computer, you will need to install RStudio and all packages mentioned in https://github.com/csc-training/r-spatial-course/blob/main/install_packages.sh . For the STAC part, you in addition need rstac, httr and gdalcubes.
Then clone the course repository (git clone [e-mail]:csc-training/r-spatial-course.git) and you are good to go :)

Day 3. STAC

Slides

Hands-on instructions:

1. Copy the example file to RStudio. Open Terminal and give these commands:

mkdir ~/my-work/stac
cd ~/my-work/stac
wget https://raw.githubusercontent.com/csc-training/geocomputing/master/R/STAC/STAC_CSC_example.R

2. Open the new RScript in RStudio from stac folder.
3. In R script change the path setting in row 45:

setwd('~/my-work/stac')

4. Run the script section-by-section.
5. Do not run rows 202-220, not enough memory in Notebooks.

Questions and Answers

• is this how to ask questions?
  • yes, and here is an answer!
  • great!