Geophysical Data Science with R
11 September, 2024
Preface
Hi
This work-in-progress collects examples on how I process geophysical data with R.
utils::sessionInfo()
## R version 4.4.1 (2024-06-14)
## Platform: x86_64-pc-linux-gnu
## Running under: Arch Linux
##
## Matrix products: default
## BLAS: /usr/lib/libblas.so.3.12.0
## LAPACK: /usr/lib/liblapack.so.3.12.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_US.UTF-8 LC_COLLATE=C
## [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
##
## time zone: Europe/Berlin
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats graphics grDevices datasets utils methods base
##
## other attached packages:
## [1] bookdown_0.37 oce_1.8-4 gsw_1.1-1 fields_15.2
## [5] viridisLite_0.4.2 spam_2.10-0 ncdf4_1.22 colorout_1.2-2
##
## loaded via a namespace (and not attached):
## [1] bit_4.0.5 jsonlite_1.8.8 crayon_1.5.2 compiler_4.4.1
## [5] maps_3.4.2 tidyselect_1.2.0 Rcpp_1.0.12 parallel_4.4.1
## [9] jquerylib_0.1.4 systemfonts_1.0.5 yaml_2.3.8 fastmap_1.1.1
## [13] readr_2.1.5 R6_2.5.1 knitr_1.45 dotCall64_1.1-1
## [17] tibble_3.2.1 svglite_2.1.3 bslib_0.6.1 pillar_1.9.0
## [21] tzdb_0.4.0 rlang_1.1.3 utf8_1.2.4 cachem_1.0.8
## [25] xfun_0.42 sass_0.4.8 bit64_4.0.5 cli_3.6.2
## [29] magrittr_2.0.3 digest_0.6.34 grid_4.4.1 vroom_1.6.5
## [33] rstudioapi_0.15.0 hms_1.1.3 lifecycle_1.0.4 vctrs_0.6.5
## [37] evaluate_0.23 glue_1.7.0 fansi_1.0.6 rmarkdown_2.25
## [41] tools_4.4.1 pkgconfig_2.0.3 htmltools_0.5.7