Last updated: 2023-02-20
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Knit directory: dwc_o2p/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 11b06b2 | ajpelu | 2023-02-20 | add dic variables |
Vamos a crear un diccionario de variables (var_dic) para
generar el extendedMeasurmentOrFact. Utilizaremos en la medida de lo
posible una tipología de campos lo más parecida a las descripciones
existentes en las extensiones MeasurementOrFact
(MoF) o ExtendedMeasurementOrFact
(eMoF) de GBIF. La estructura de la tabla es:
id_var: identificador. Requerido.
Acordamos que los parámetros relacionados con suelo llevarán delante la
letra S, mientras que los de vegetación la palabra V. La estructura será
X00 siendo X: S (Soil) o V (Vegetation), y
00 hace referencia un número del 0 al 99.name_var: nombre de la variable
(req.). GBIF recomienda usar un vocabulario controlado. Corresponde con
measurementTypecode: código de la variable.units: unidades de la variable.
Correspondencia con measurementUnitmethods: campo para indicar una descripción de los
métodos. Correspondencia con measurementMethodraw_key: la clave (código de los
nombres de las variables en el conjunto de datos original, para poder
hacer la transformación).url_controlled: url del identificador del término en un
vocabulario controlado. Sugiero utilizar este: https://vocabs.lter-europe.net/envthes/en/.library(tidyverse) # Easily Install and Load the 'Tidyverse'── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
✔ ggplot2 3.4.0 ✔ purrr 0.3.5
✔ tibble 3.1.8 ✔ dplyr 1.0.10
✔ tidyr 1.2.1 ✔ stringr 1.4.1
✔ readr 2.1.3 ✔ forcats 0.5.2
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()library(here) # A Simpler Way to Find Your Fileshere() starts at /Users/ajpelu/SERPAM Dropbox/14_GBIF/01_O2P/dwc_o2plibrary(data.table)
Attaching package: 'data.table'
The following objects are masked from 'package:dplyr':
between, first, last
The following object is masked from 'package:purrr':
transposedic_var <- read.csv(here::here("data/raw/dic_var.csv"), sep = ";")
sessionInfo()R version 4.2.1 (2022-06-23)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Monterey 12.3.1
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] data.table_1.14.6 here_1.0.1 forcats_0.5.2 stringr_1.4.1
[5] dplyr_1.0.10 purrr_0.3.5 readr_2.1.3 tidyr_1.2.1
[9] tibble_3.1.8 ggplot2_3.4.0 tidyverse_1.3.2 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.9 lubridate_1.8.0 getPass_0.2-2
[4] ps_1.7.1 assertthat_0.2.1 rprojroot_2.0.3
[7] digest_0.6.31 utf8_1.2.2 R6_2.5.1
[10] cellranger_1.1.0 backports_1.4.1 reprex_2.0.2
[13] evaluate_0.18 httr_1.4.4 pillar_1.8.1
[16] rlang_1.0.6 readxl_1.4.1 googlesheets4_1.0.1
[19] rstudioapi_0.14 whisker_0.4 callr_3.7.3
[22] jquerylib_0.1.4 DT_0.26 rmarkdown_2.18
[25] googledrive_2.0.0 htmlwidgets_1.5.4 munsell_0.5.0
[28] broom_1.0.1 compiler_4.2.1 httpuv_1.6.8
[31] modelr_0.1.9 xfun_0.35 pkgconfig_2.0.3
[34] htmltools_0.5.4 tidyselect_1.2.0 fansi_1.0.3
[37] crayon_1.5.2 withr_2.5.0 tzdb_0.3.0
[40] dbplyr_2.2.1 later_1.3.0 grid_4.2.1
[43] jsonlite_1.8.4 gtable_0.3.1 lifecycle_1.0.3
[46] DBI_1.1.3 git2r_0.30.1 magrittr_2.0.3
[49] scales_1.2.1 cli_3.6.0 stringi_1.7.8
[52] cachem_1.0.6 fs_1.5.2 promises_1.2.0.1
[55] xml2_1.3.3 bslib_0.4.2 ellipsis_0.3.2
[58] generics_0.1.3 vctrs_0.5.1 tools_4.2.1
[61] glue_1.6.2 crosstalk_1.2.0 hms_1.1.2
[64] processx_3.7.0 fastmap_1.1.0 yaml_2.3.7
[67] colorspace_2.0-3 gargle_1.2.1 rvest_1.0.3
[70] knitr_1.41 haven_2.5.1 sass_0.4.4