Geographic data science reproducible teaching resource in R
Practical session materials
2020-01-15
Preface
This work is licensed under the GNU General Public License v3.0. Contains public sector information licensed under the Open Government Licence v3.0.
This book contains the practical sessions component of granolarr, a repository of reproducible materials to teach geographic information and data science in R. Part of the materials are derived from the practical sessions for the module GY7702 Practical Programming in R of the MSc in Geographic Information Science at the School of Geography, Geology, and the Environment of the University of Leicester, by Dr Stefano De Sabbata.
This book was created using R, RStudio, RMarkdown, Bookdown, and GitHub.
0.1 Session info
## R version 3.6.1 (2019-07-05)
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## Running under: macOS Mojave 10.14.6
##
## Matrix products: default
## BLAS: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
##
## locale:
## [1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## loaded via a namespace (and not attached):
## [1] compiler_3.6.1 magrittr_1.5 bookdown_0.14 tools_3.6.1
## [5] htmltools_0.4.0 yaml_2.2.0 Rcpp_1.0.2 stringi_1.4.3
## [9] rmarkdown_1.16 knitr_1.25 stringr_1.4.0 xfun_0.10
## [13] digest_0.6.21 rlang_0.4.0 evaluate_0.14