Dates: 2021-06-27 - 2021-07-02
We assume attendees have good knowledge of spatial data and some experience with writing code.
In terms of software we will use R and assume that attendees have a recent version, R (>= 4.0.0). Check this as follows:
R.version #> _ #> platform x86_64-redhat-linux-gnu #> arch x86_64 #> os linux-gnu #> system x86_64, linux-gnu #> status #> major 4 #> minor 0.5 #> year 2021 #> month 03 #> day 31 #> svn rev 80133 #> language R #> version.string R version 4.0.5 (2021-03-31) #> nickname Shake and Throw
major 4 bit says that you are on a recent version of R (older
versions of R may work but this cannot be guranteed).
You should also have up-to-date versions of numerous R packages for
working with spatial data. You can install these as follows (the output
says which version of each package is installed, we plan to teach the
material based on the latest version currently on CRAN, e.g.
which, described as
'sf' from a cran remote, the SHA1 (1.0-0) in the
# install the remotes package, we will use it to install subsequent packages install.packages("remotes")
# create a character vector containing the names of the packages to install: pkgs = c( "sf", "spData", "terra", "tmap", "stars", "dplyr", "spDataLarge", "gstat", "raster", "fields", "mapsf" ) # Install the packages with the following command # (will not reinstall packages already installed) remotes::install_cran(pkgs)
Furthermore, we will install a couple of packages that are not available on CRAN as follows:
Much of the material is based on the book Geocomputation with R. To install packages needed to reproduce the book (and many of the packages needed for the course) run the following command: