Data base
Jens Daniel Müller
08 July, 2020
Last updated: 2020-07-08
Checks: 7 0
Knit directory: Cant_eMLR/
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| Rmd | 5de66c3 | jens-daniel-mueller | 2020-07-08 | correct label GLODAPv2_2020 |
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library(tidyverse)
library(lubridate)1 Reading original data
The file GLODAPv2.2020_Merged_Master_File.csv from glodap.info was used.
Only rows which have at least one talk or tco2 observation were subsetted.
GLODAP <- read_csv(here::here("data", "GLODAPv2.2020_Merged_Master_File.csv"),
na = "-9999",
col_types = cols(.default = col_double()))
# relevant columns
GLODAP <- GLODAP %>%
select(cruise:phtsqc)
# select columns with at least one talk or tco2 observation
GLODAP <- GLODAP %>%
filter(!is.na(talk) | !is.na(tco2))
# date and decade column
GLODAP <- GLODAP %>%
mutate(date = ymd(paste(year, month, day)),
decade = as.factor(floor(year / 10) * 10))
GLODAP %>% write_csv(here::here("data/_summarized_data_files", "GLODAPv2.2020_Merged_Master_File_JM.csv"))2 Overview GLODAPv2-2019
Saptio-temporal distribution of talk and tco2 data.
GLODAP <- read_csv(here::here("data/_summarized_data_files",
"GLODAPv2.2020_Merged_Master_File_JM.csv"),
guess_max = 1e5)
GLODAP <- GLODAP %>%
mutate(decade = as.factor(decade))2.1 Histograms
GLODAP %>%
filter(!is.na(tco2)) %>%
ggplot(aes(latitude, fill=decade))+
geom_vline(xintercept = -30, col="red")+
geom_histogram(binwidth = 10, col="black", boundary = 0)+
coord_cartesian(expand = 0)+
scale_x_continuous(breaks = seq(-85,90,10))+
scale_fill_viridis_d()+
labs(title = "tco2 observations")
GLODAP %>%
filter(!is.na(talk)) %>%
ggplot(aes(latitude, fill=decade))+
geom_vline(xintercept = -30, col="red")+
geom_histogram(binwidth = 10, col="black", boundary = 0)+
coord_cartesian(expand = 0)+
scale_x_continuous(breaks = seq(-85,90,10))+
scale_fill_viridis_d()+
labs(title = "talk observations")
GLODAP %>%
filter(!is.na(talk) & !is.na(tco2)) %>%
ggplot(aes(latitude, fill=decade))+
geom_vline(xintercept = -30, col="red")+
geom_histogram(binwidth = 10, col="black", boundary = 0)+
coord_cartesian(expand = 0)+
scale_x_continuous(breaks = seq(-85,90,10))+
scale_fill_viridis_d()+
labs(title = "Paired tco2 + talk observations")
2.2 World map
mapWorld <- borders("world", colour="gray60", fill="gray60")
GLODAP %>%
filter(depth < 10) %>%
ggplot(aes(longitude, latitude))+
mapWorld+
geom_point()+
geom_hline(yintercept = c(-30, -65), col="red")+
scale_x_continuous(breaks = seq(-180, 180, 30))+
scale_y_continuous(breaks = seq(-90, 90, 30))+
coord_quickmap(expand = FALSE)+
labs(title = "Observations within 0-10m water depth")
sessionInfo()R version 3.6.3 (2020-02-29)
Platform: i386-w64-mingw32/i386 (32-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=English_Germany.1252 LC_CTYPE=English_Germany.1252
[3] LC_MONETARY=English_Germany.1252 LC_NUMERIC=C
[5] LC_TIME=English_Germany.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] lubridate_1.7.4 forcats_0.5.0 stringr_1.4.0 dplyr_0.8.5
[5] purrr_0.3.4 readr_1.3.1 tidyr_1.0.2 tibble_3.0.1
[9] ggplot2_3.3.0 tidyverse_1.3.0 workflowr_1.6.1
loaded via a namespace (and not attached):
[1] jsonlite_1.6.1 rstudioapi_0.11 generics_0.0.2 magrittr_1.5
[5] farver_2.0.3 gtable_0.3.0 rmarkdown_2.1 vctrs_0.3.0
[9] fs_1.4.0 hms_0.5.3 xml2_1.3.0 pillar_1.4.4
[13] htmltools_0.4.0 haven_2.2.0 later_1.0.0 broom_0.5.5
[17] cellranger_1.1.0 lattice_0.20-41 tidyselect_1.1.0 knitr_1.28
[21] git2r_0.26.1 whisker_0.4 lifecycle_0.2.0 pkgconfig_2.0.3
[25] R6_2.4.1 digest_0.6.25 xfun_0.12 colorspace_1.4-1
[29] rprojroot_1.3-2 stringi_1.4.6 yaml_2.2.1 evaluate_0.14
[33] labeling_0.3 fansi_0.4.1 httr_1.4.1 compiler_3.6.3
[37] here_0.1 cli_2.0.2 withr_2.1.2 backports_1.1.5
[41] munsell_0.5.0 DBI_1.1.0 modelr_0.1.6 Rcpp_1.0.4.6
[45] readxl_1.3.1 maps_3.3.0 dbplyr_1.4.2 ellipsis_0.3.1
[49] assertthat_0.2.1 tools_3.6.3 reprex_0.3.0 httpuv_1.5.2
[53] viridisLite_0.3.0 scales_1.1.0 crayon_1.3.4 glue_1.4.1
[57] rlang_0.4.6 nlme_3.1-145 rvest_0.3.5 promises_1.1.0
[61] grid_3.6.3