Geoinformatics with R
Aplications for radon mapping
2021-04-19
Prerequisites
The data have been analysed with R (version 4.0.4) and Rstudio (versio 1.4.1106), and the book has been created with bookdown package. The required packages are automatically checked and installed if needed from CRAN.
# Create an auxiliary function for checking if a package is installed,
# install it if it is not, and load the package
# (based on https://gist.github.com/stevenworthington/3178163)
ipak <- function(pkg){
new_pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
if (length(new_pkg))
install.packages(new_pkg,
dependencies = TRUE,
repos = "http://cran.us.r-project.org")
sapply(pkg, require, character.only = TRUE)
}
# List of packages
pkg <- c("tidyverse",
"sf",
"sp",
"gstat"
)
# Check and install
ipak(pkg)# You may also need to install the following packages
#install.packages(c("MASS", "StatDA", "NADA", "truncnorm", "units", "leaflet", "ggspatial", "gridExtra", "rgdal"))R session
# R version 4.0.4 (2021-02-15)
# Platform: x86_64-w64-mingw32/x64 (64-bit)
# Running under: Windows 10 x64 (build 17763)
#
# Matrix products: default
#
# locale:
# [1] LC_COLLATE=English_United Kingdom.1252 LC_CTYPE=English_United Kingdom.1252
# [3] LC_MONETARY=English_United Kingdom.1252 LC_NUMERIC=C
# [5] LC_TIME=English_United Kingdom.1252
#
# attached base packages:
# [1] stats graphics grDevices utils datasets methods base
#
# other attached packages:
# [1] gstat_2.0-7 sp_1.4-5 sf_0.9-8 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.5
# [7] purrr_0.3.4 readr_1.4.0 tidyr_1.1.3 tibble_3.1.0 ggplot2_3.3.3 tidyverse_1.3.0
#
# loaded via a namespace (and not attached):
# [1] leafem_0.1.3 colorspace_2.0-0 ellipsis_0.3.1 class_7.3-18
# [5] leaflet_2.0.4.1 satellite_1.0.2 base64enc_0.1-3 fs_1.5.0
# [9] rstudioapi_0.13 proxy_0.4-25 fansi_0.4.2 lubridate_1.7.9.2
# [13] xml2_1.3.2 codetools_0.2-18 splines_4.0.4 robustbase_0.93-7
# [17] knitr_1.31 jsonlite_1.7.2 broom_0.7.5 cluster_2.1.0
# [21] dbplyr_2.1.0 png_0.1-7 shiny_1.6.0 StatDA_1.7.4
# [25] compiler_4.0.4 httr_1.4.2 backports_1.2.1 mapview_2.9.0
# [29] assertthat_0.2.1 Matrix_1.3-2 fastmap_1.1.0 cli_2.3.1
# [33] later_1.1.0.1 htmltools_0.5.1.1 tools_4.0.4 gtable_0.3.0
# [37] glue_1.4.2 Rcpp_1.0.6 cellranger_1.1.0 jquerylib_0.1.3
# [41] raster_3.4-5 vctrs_0.3.6 sgeostat_1.0-27 nlme_3.1-152
# [45] crosstalk_1.1.1 xfun_0.22 rvest_1.0.0 mime_0.10
# [49] miniUI_0.1.1.1 lifecycle_1.0.0 DEoptimR_1.0-8 zoo_1.8-9
# [53] MASS_7.3-53 scales_1.1.1 hms_1.0.0 promises_1.2.0.1
# [57] yaml_2.2.1 MBA_0.0-9 NADA_1.6-1.1 sass_0.3.1
# [61] stringi_1.5.3 e1071_1.7-6 RandomFieldsUtils_0.5.3 manipulateWidget_0.10.1
# [65] intervals_0.15.2 rlang_0.4.10 pkgconfig_2.0.3 rgl_0.105.22
# [69] evaluate_0.14 lattice_0.20-41 htmlwidgets_1.5.3 tidyselect_1.1.0
# [73] magrittr_2.0.1 bookdown_0.21 R6_2.5.0 generics_0.1.0
# [77] DBI_1.1.1 pillar_1.5.1 haven_2.3.1 withr_2.4.1
# [81] mgcv_1.8-34 xts_0.12.1 units_0.7-1 survival_3.2-10
# [85] spacetime_1.2-4 modelr_0.1.8 crayon_1.4.1 KernSmooth_2.23-18
# [89] utf8_1.2.1 rmarkdown_2.7 geoR_1.8-1 RandomFields_3.3.8
# [93] grid_4.0.4 readxl_1.3.1 FNN_1.1.3 splancs_2.01-40
# [97] reprex_1.0.0 digest_0.6.27 classInt_0.4-3 webshot_0.5.2
# [101] xtable_1.8-4 httpuv_1.5.5 stats4_4.0.4 munsell_0.5.0
# [105] bslib_0.2.4 tcltk_4.0.4