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