将加里宁格勒州添加到 NUTS-2 欧盟地图
Add Kaliningrad Oblast to NUTS-2 EU map
我正在努力将加里宁格勒州添加到欧盟 NUTS-2 地图中，否则看起来波兰和立陶宛之间有海。我尝试使用不同的 shp 文件，但是每次我尝试将俄罗斯数据集添加到欧洲数据集时，我都会收到坐标错误。
这是我的代码：
我从以下网址下载了 EU NUTS-2 shp 文件：https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts（文件格式：GeoJSON；几何类型：多边形 (RG)；比例：20M；CRS：4326）；
我从以下位置下载了俄罗斯 shp 文件：https://gadm.org/download_country.html (Shapefile)
library(sf)
library(tidyverse)
nuts2 <- read_sf("D:/NUTS_RG_20M_2021_4326.geojson")
russia<- read_sf("D:/gadm36_RUS_shp/gadm36_RUS_1.shp")
russia<-rename(russia, c("CNTR_CODE"="GID_0"), c("NUTS_ID"="GID_1"))
nuts_agg <- nuts2 %>%
filter(!CNTR_CODE %in% c( c( "TR"))) %>%
filter(!NUTS_ID %in% c( "ES70", "PT20", "PT30",
"FRY1", "FRY2","FRY3", "FRY4", "FRY5", "NO0B"))
euru<-st_join(nuts_agg, russia, BY=c("CNTR_CODE", "NUTS_ID", "geometry"))
我也尝试过使用不同的 shp 文件，但每次都出现不同的错误。主要问题是俄罗斯的几何形状没有得到认可。
感谢您的帮助。
我可以看到一些会在您的代码中抛出错误的东西：
rename(russia, c("CNTR_CODE"="GID_0"), c("NUTS_ID"="GID_1")) 没有像您预期的那样工作。st_join 正在执行 空间连接 ，这将根据形状的重叠区域进行连接，而您真正想要的是 附加信息。
我会使用 giscoR 和 GADMtools 包，这是两个 API 包，它们提取与您使用的完全相同的 shapefile，以提供完全的可重复性。
在这里查看代表：
library(sf)
library(tidyverse)
# packages for downloading shapes
library(giscoR)
library(GADMTools)
# Same source than your example
nuts2 <- gisco_get_nuts(resolution = 20, year = 2021, epsg = 4326, nuts_level = 2)
names(nuts2)
#> [1] "MOUNT_TYPE" "NAME_LATN" "CNTR_CODE" "NUTS_NAME" "NUTS_ID"
#> [6] "LEVL_CODE" "URBN_TYPE" "COAST_TYPE" "FID" "geometry"
# Same source than your example
russia <- gadm_sf.loadCountries("RUS", level = 1)
# Extract the sf object for Kaliningrad and align CRS with NUTS2
kalin_sf <- russia$sf %>%
filter(NAME_1 == "Kaliningrad") %>%
st_transform(st_crs(st_crs(nuts2)))
#> old-style crs object detected; please recreate object with a recent sf::st_crs()
# Adapt columns and make join
names(kalin_sf)
#> [1] "ISO" "NAME_0" "NAME_1" "TYPE_1" "ENGTYPE_1" "geometry"
kalin_sf <- kalin_sf %>%
rename(
CNTR_CODE = NAME_1,
NUTS_ID = NAME_0
)
# Now we can bind rows (NO SPATIAL JOIN!!) and perform filters
euru <- nuts2 %>%
bind_rows(kalin_sf) %>%
filter(
CNTR_CODE != "TR",
!NUTS_ID %in% c(
"ES70", "PT20", "PT30",
"FRY1", "FRY2", "FRY3", "FRY4", "FRY5", "NO0B"
)
)
# Plot
ggplot(euru) +
geom_sf(aes(fill = TYPE_1)) +
# Represent on EPSG 3035, one of the official CRS of the European Union
coord_sf(crs = 3035) +
labs(title = "NUTS2 with Kaliningrad Oblast")
由 reprex package (v2.0.1)
于 2022-02-18 创建
会话信息
sessioninfo::session_info()
#> - Session info ---------------------------------------------------------------
#> setting value
#> version R version 4.1.2 (2021-11-01)
#> os Windows 10 x64 (build 22000)
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate Spanish_Spain.1252
#> ctype Spanish_Spain.1252
#> tz Europe/Paris
#> date 2022-02-18
#> pandoc 2.14.0.3 @ C:/Program Files/RStudio/bin/pandoc/ (via rmarkdown)
#>
#> - Packages -------------------------------------------------------------------
#> package * version date (UTC) lib source
#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.1.1)
#> backports 1.4.1 2021-12-13 [1] CRAN (R 4.1.2)
#> bitops 1.0-7 2021-04-24 [1] CRAN (R 4.1.1)
#> broom 0.7.12 2022-01-28 [1] CRAN (R 4.1.2)
#> cellranger 1.1.0 2016-07-27 [1] CRAN (R 4.1.1)
#> class 7.3-19 2021-05-03 [2] CRAN (R 4.1.2)
#> classInt * 0.4-3 2020-04-07 [1] CRAN (R 4.1.1)
#> cli 3.2.0 2022-02-14 [1] CRAN (R 4.1.2)
#> colorspace 2.0-2 2021-06-24 [1] CRAN (R 4.1.1)
#> crayon 1.5.0 2022-02-14 [1] CRAN (R 4.1.2)
#> curl 4.3.2 2021-06-23 [1] CRAN (R 4.1.1)
#> DBI 1.1.2 2021-12-20 [1] CRAN (R 4.1.2)
#> dbplyr 2.1.1 2021-04-06 [1] CRAN (R 4.1.1)
#> digest 0.6.29 2021-12-01 [1] CRAN (R 4.1.2)
#> dplyr * 1.0.8 2022-02-08 [1] CRAN (R 4.1.2)
#> e1071 1.7-9 2021-09-16 [1] CRAN (R 4.1.1)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.1.1)
#> evaluate 0.14 2019-05-28 [1] CRAN (R 4.1.1)
#> fansi 1.0.2 2022-01-14 [1] CRAN (R 4.1.2)
#> farver 2.1.0 2021-02-28 [1] CRAN (R 4.1.1)
#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.1.1)
#> forcats * 0.5.1 2021-01-27 [1] CRAN (R 4.1.1)
#> foreign 0.8-81 2020-12-22 [2] CRAN (R 4.1.2)
#> fs 1.5.2 2021-12-08 [1] CRAN (R 4.1.2)
#> GADMTools * 3.9-1 2021-08-05 [1] CRAN (R 4.1.1)
#> generics 0.1.2 2022-01-31 [1] CRAN (R 4.1.2)
#> geojsonsf 2.0.1 2020-10-02 [1] CRAN (R 4.1.1)
#> ggmap 3.0.0 2019-02-04 [1] CRAN (R 4.1.1)
#> ggplot2 * 3.3.5 2021-06-25 [1] CRAN (R 4.1.2)
#> ggspatial 1.1.5.9000 2022-01-24 [1] Github (paleolimbot/ggspatial@20a8708)
#> giscoR * 0.3.1 2021-10-06 [1] CRAN (R 4.1.1)
#> glue 1.6.1 2022-01-22 [1] CRAN (R 4.1.2)
#> gridExtra 2.3 2017-09-09 [1] CRAN (R 4.1.1)
#> gtable 0.3.0 2019-03-25 [1] CRAN (R 4.1.1)
#> haven 2.4.3 2021-08-04 [1] CRAN (R 4.1.1)
#> highr 0.9 2021-04-16 [1] CRAN (R 4.1.1)
#> hms 1.1.1 2021-09-26 [1] CRAN (R 4.1.1)
#> htmltools 0.5.2 2021-08-25 [1] CRAN (R 4.1.1)
#> httr 1.4.2 2020-07-20 [1] CRAN (R 4.1.1)
#> jpeg 0.1-9 2021-07-24 [1] CRAN (R 4.1.1)
#> jsonlite 1.7.3 2022-01-17 [1] CRAN (R 4.1.2)
#> KernSmooth 2.23-20 2021-05-03 [2] CRAN (R 4.1.2)
#> knitr 1.37 2021-12-16 [1] CRAN (R 4.1.2)
#> lattice 0.20-45 2021-09-22 [2] CRAN (R 4.1.2)
#> lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.1.1)
#> lubridate 1.8.0 2021-10-07 [1] CRAN (R 4.1.1)
#> magrittr 2.0.2 2022-01-26 [1] CRAN (R 4.1.2)
#> maptools 1.1-2 2021-09-07 [1] CRAN (R 4.1.1)
#> mime 0.12 2021-09-28 [1] CRAN (R 4.1.1)
#> modelr 0.1.8 2020-05-19 [1] CRAN (R 4.1.1)
#> munsell 0.5.0 2018-06-12 [1] CRAN (R 4.1.1)
#> pillar 1.7.0 2022-02-01 [1] CRAN (R 4.1.2)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.1.1)
#> plyr 1.8.6 2020-03-03 [1] CRAN (R 4.1.1)
#> png 0.1-7 2013-12-03 [1] CRAN (R 4.1.1)
#> proxy 0.4-26 2021-06-07 [1] CRAN (R 4.1.1)
#> purrr * 0.3.4 2020-04-17 [1] CRAN (R 4.1.1)
#> R.cache 0.15.0 2021-04-30 [1] CRAN (R 4.1.1)
#> R.methodsS3 1.8.1 2020-08-26 [1] CRAN (R 4.1.1)
#> R.oo 1.24.0 2020-08-26 [1] CRAN (R 4.1.1)
#> R.utils 2.11.0 2021-09-26 [1] CRAN (R 4.1.1)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.1.1)
#> Rcpp 1.0.8 2022-01-13 [1] CRAN (R 4.1.2)
#> readr * 2.1.2 2022-01-30 [1] CRAN (R 4.1.2)
#> readxl 1.3.1 2019-03-13 [1] CRAN (R 4.1.1)
#> reprex 2.0.1 2021-08-05 [1] CRAN (R 4.1.2)
#> rgdal * 1.5-28 2021-12-15 [1] CRAN (R 4.1.2)
#> rgeos 0.5-9 2021-12-15 [1] CRAN (R 4.1.2)
#> RgoogleMaps 1.4.5.3 2020-02-12 [1] CRAN (R 4.1.1)
#> rjson 0.2.21 2022-01-09 [1] CRAN (R 4.1.2)
#> rlang 1.0.1 2022-02-03 [1] CRAN (R 4.1.2)
#> rmarkdown 2.11 2021-09-14 [1] CRAN (R 4.1.1)
#> rosm 0.2.5 2019-07-22 [1] CRAN (R 4.1.1)
#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.1.1)
#> rvest 1.0.2 2021-10-16 [1] CRAN (R 4.1.1)
#> s2 1.0.7 2021-09-28 [1] CRAN (R 4.1.1)
#> scales 1.1.1 2020-05-11 [1] CRAN (R 4.1.1)
#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.1.2)
#> sf * 1.0-6 2022-02-04 [1] CRAN (R 4.1.2)
#> sp * 1.4-6 2021-11-14 [1] CRAN (R 4.1.2)
#> stringi 1.7.6 2021-11-29 [1] CRAN (R 4.1.2)
#> stringr * 1.4.0 2019-02-10 [1] CRAN (R 4.1.1)
#> styler 1.6.2 2021-09-23 [1] CRAN (R 4.1.1)
#> tibble * 3.1.6 2021-11-07 [1] CRAN (R 4.1.2)
#> tidyr * 1.2.0 2022-02-01 [1] CRAN (R 4.1.2)
#> tidyselect 1.1.1 2021-04-30 [1] CRAN (R 4.1.1)
#> tidyverse * 1.3.1 2021-04-15 [1] CRAN (R 4.1.1)
#> tzdb 0.2.0 2021-10-27 [1] CRAN (R 4.1.1)
#> units 0.8-0 2022-02-05 [1] CRAN (R 4.1.2)
#> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.1.1)
#> vctrs 0.3.8 2021-04-29 [1] CRAN (R 4.1.1)
#> withr 2.4.3 2021-11-30 [1] CRAN (R 4.1.2)
#> wk 0.6.0 2022-01-03 [1] CRAN (R 4.1.2)
#> xfun 0.29 2021-12-14 [1] CRAN (R 4.1.2)
#> xml2 1.3.3 2021-11-30 [1] CRAN (R 4.1.2)
#> yaml 2.2.2 2022-01-25 [1] CRAN (R 4.1.2)
#>
#> [1] C:/Users/diego/Documents/R/win-library/4.1
#> [2] C:/Program Files/R/R-4.1.2/library
#>
#> ------------------------------------------------------------------------------
我正在努力将加里宁格勒州添加到欧盟 NUTS-2 地图中，否则看起来波兰和立陶宛之间有海。我尝试使用不同的 shp 文件，但是每次我尝试将俄罗斯数据集添加到欧洲数据集时，我都会收到坐标错误。
这是我的代码：
我从以下网址下载了 EU NUTS-2 shp 文件：https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts（文件格式：GeoJSON；几何类型：多边形 (RG)；比例：20M；CRS：4326）；
我从以下位置下载了俄罗斯 shp 文件：https://gadm.org/download_country.html (Shapefile)
library(sf) library(tidyverse) nuts2 <- read_sf("D:/NUTS_RG_20M_2021_4326.geojson") russia<- read_sf("D:/gadm36_RUS_shp/gadm36_RUS_1.shp") russia<-rename(russia, c("CNTR_CODE"="GID_0"), c("NUTS_ID"="GID_1")) nuts_agg <- nuts2 %>% filter(!CNTR_CODE %in% c( c( "TR"))) %>% filter(!NUTS_ID %in% c( "ES70", "PT20", "PT30", "FRY1", "FRY2","FRY3", "FRY4", "FRY5", "NO0B")) euru<-st_join(nuts_agg, russia, BY=c("CNTR_CODE", "NUTS_ID", "geometry"))
我也尝试过使用不同的 shp 文件，但每次都出现不同的错误。主要问题是俄罗斯的几何形状没有得到认可。 感谢您的帮助。
我可以看到一些会在您的代码中抛出错误的东西：
rename(russia, c("CNTR_CODE"="GID_0"), c("NUTS_ID"="GID_1"))没有像您预期的那样工作。st_join正在执行 空间连接 ，这将根据形状的重叠区域进行连接，而您真正想要的是 附加信息。
我会使用 giscoR 和 GADMtools 包，这是两个 API 包，它们提取与您使用的完全相同的 shapefile，以提供完全的可重复性。
在这里查看代表：
library(sf)
library(tidyverse)
# packages for downloading shapes
library(giscoR)
library(GADMTools)
# Same source than your example
nuts2 <- gisco_get_nuts(resolution = 20, year = 2021, epsg = 4326, nuts_level = 2)
names(nuts2)
#> [1] "MOUNT_TYPE" "NAME_LATN" "CNTR_CODE" "NUTS_NAME" "NUTS_ID"
#> [6] "LEVL_CODE" "URBN_TYPE" "COAST_TYPE" "FID" "geometry"
# Same source than your example
russia <- gadm_sf.loadCountries("RUS", level = 1)
# Extract the sf object for Kaliningrad and align CRS with NUTS2
kalin_sf <- russia$sf %>%
filter(NAME_1 == "Kaliningrad") %>%
st_transform(st_crs(st_crs(nuts2)))
#> old-style crs object detected; please recreate object with a recent sf::st_crs()
# Adapt columns and make join
names(kalin_sf)
#> [1] "ISO" "NAME_0" "NAME_1" "TYPE_1" "ENGTYPE_1" "geometry"
kalin_sf <- kalin_sf %>%
rename(
CNTR_CODE = NAME_1,
NUTS_ID = NAME_0
)
# Now we can bind rows (NO SPATIAL JOIN!!) and perform filters
euru <- nuts2 %>%
bind_rows(kalin_sf) %>%
filter(
CNTR_CODE != "TR",
!NUTS_ID %in% c(
"ES70", "PT20", "PT30",
"FRY1", "FRY2", "FRY3", "FRY4", "FRY5", "NO0B"
)
)
# Plot
ggplot(euru) +
geom_sf(aes(fill = TYPE_1)) +
# Represent on EPSG 3035, one of the official CRS of the European Union
coord_sf(crs = 3035) +
labs(title = "NUTS2 with Kaliningrad Oblast")
由 reprex package (v2.0.1)
于 2022-02-18 创建 会话信息sessioninfo::session_info()
#> - Session info ---------------------------------------------------------------
#> setting value
#> version R version 4.1.2 (2021-11-01)
#> os Windows 10 x64 (build 22000)
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate Spanish_Spain.1252
#> ctype Spanish_Spain.1252
#> tz Europe/Paris
#> date 2022-02-18
#> pandoc 2.14.0.3 @ C:/Program Files/RStudio/bin/pandoc/ (via rmarkdown)
#>
#> - Packages -------------------------------------------------------------------
#> package * version date (UTC) lib source
#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.1.1)
#> backports 1.4.1 2021-12-13 [1] CRAN (R 4.1.2)
#> bitops 1.0-7 2021-04-24 [1] CRAN (R 4.1.1)
#> broom 0.7.12 2022-01-28 [1] CRAN (R 4.1.2)
#> cellranger 1.1.0 2016-07-27 [1] CRAN (R 4.1.1)
#> class 7.3-19 2021-05-03 [2] CRAN (R 4.1.2)
#> classInt * 0.4-3 2020-04-07 [1] CRAN (R 4.1.1)
#> cli 3.2.0 2022-02-14 [1] CRAN (R 4.1.2)
#> colorspace 2.0-2 2021-06-24 [1] CRAN (R 4.1.1)
#> crayon 1.5.0 2022-02-14 [1] CRAN (R 4.1.2)
#> curl 4.3.2 2021-06-23 [1] CRAN (R 4.1.1)
#> DBI 1.1.2 2021-12-20 [1] CRAN (R 4.1.2)
#> dbplyr 2.1.1 2021-04-06 [1] CRAN (R 4.1.1)
#> digest 0.6.29 2021-12-01 [1] CRAN (R 4.1.2)
#> dplyr * 1.0.8 2022-02-08 [1] CRAN (R 4.1.2)
#> e1071 1.7-9 2021-09-16 [1] CRAN (R 4.1.1)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.1.1)
#> evaluate 0.14 2019-05-28 [1] CRAN (R 4.1.1)
#> fansi 1.0.2 2022-01-14 [1] CRAN (R 4.1.2)
#> farver 2.1.0 2021-02-28 [1] CRAN (R 4.1.1)
#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.1.1)
#> forcats * 0.5.1 2021-01-27 [1] CRAN (R 4.1.1)
#> foreign 0.8-81 2020-12-22 [2] CRAN (R 4.1.2)
#> fs 1.5.2 2021-12-08 [1] CRAN (R 4.1.2)
#> GADMTools * 3.9-1 2021-08-05 [1] CRAN (R 4.1.1)
#> generics 0.1.2 2022-01-31 [1] CRAN (R 4.1.2)
#> geojsonsf 2.0.1 2020-10-02 [1] CRAN (R 4.1.1)
#> ggmap 3.0.0 2019-02-04 [1] CRAN (R 4.1.1)
#> ggplot2 * 3.3.5 2021-06-25 [1] CRAN (R 4.1.2)
#> ggspatial 1.1.5.9000 2022-01-24 [1] Github (paleolimbot/ggspatial@20a8708)
#> giscoR * 0.3.1 2021-10-06 [1] CRAN (R 4.1.1)
#> glue 1.6.1 2022-01-22 [1] CRAN (R 4.1.2)
#> gridExtra 2.3 2017-09-09 [1] CRAN (R 4.1.1)
#> gtable 0.3.0 2019-03-25 [1] CRAN (R 4.1.1)
#> haven 2.4.3 2021-08-04 [1] CRAN (R 4.1.1)
#> highr 0.9 2021-04-16 [1] CRAN (R 4.1.1)
#> hms 1.1.1 2021-09-26 [1] CRAN (R 4.1.1)
#> htmltools 0.5.2 2021-08-25 [1] CRAN (R 4.1.1)
#> httr 1.4.2 2020-07-20 [1] CRAN (R 4.1.1)
#> jpeg 0.1-9 2021-07-24 [1] CRAN (R 4.1.1)
#> jsonlite 1.7.3 2022-01-17 [1] CRAN (R 4.1.2)
#> KernSmooth 2.23-20 2021-05-03 [2] CRAN (R 4.1.2)
#> knitr 1.37 2021-12-16 [1] CRAN (R 4.1.2)
#> lattice 0.20-45 2021-09-22 [2] CRAN (R 4.1.2)
#> lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.1.1)
#> lubridate 1.8.0 2021-10-07 [1] CRAN (R 4.1.1)
#> magrittr 2.0.2 2022-01-26 [1] CRAN (R 4.1.2)
#> maptools 1.1-2 2021-09-07 [1] CRAN (R 4.1.1)
#> mime 0.12 2021-09-28 [1] CRAN (R 4.1.1)
#> modelr 0.1.8 2020-05-19 [1] CRAN (R 4.1.1)
#> munsell 0.5.0 2018-06-12 [1] CRAN (R 4.1.1)
#> pillar 1.7.0 2022-02-01 [1] CRAN (R 4.1.2)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.1.1)
#> plyr 1.8.6 2020-03-03 [1] CRAN (R 4.1.1)
#> png 0.1-7 2013-12-03 [1] CRAN (R 4.1.1)
#> proxy 0.4-26 2021-06-07 [1] CRAN (R 4.1.1)
#> purrr * 0.3.4 2020-04-17 [1] CRAN (R 4.1.1)
#> R.cache 0.15.0 2021-04-30 [1] CRAN (R 4.1.1)
#> R.methodsS3 1.8.1 2020-08-26 [1] CRAN (R 4.1.1)
#> R.oo 1.24.0 2020-08-26 [1] CRAN (R 4.1.1)
#> R.utils 2.11.0 2021-09-26 [1] CRAN (R 4.1.1)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.1.1)
#> Rcpp 1.0.8 2022-01-13 [1] CRAN (R 4.1.2)
#> readr * 2.1.2 2022-01-30 [1] CRAN (R 4.1.2)
#> readxl 1.3.1 2019-03-13 [1] CRAN (R 4.1.1)
#> reprex 2.0.1 2021-08-05 [1] CRAN (R 4.1.2)
#> rgdal * 1.5-28 2021-12-15 [1] CRAN (R 4.1.2)
#> rgeos 0.5-9 2021-12-15 [1] CRAN (R 4.1.2)
#> RgoogleMaps 1.4.5.3 2020-02-12 [1] CRAN (R 4.1.1)
#> rjson 0.2.21 2022-01-09 [1] CRAN (R 4.1.2)
#> rlang 1.0.1 2022-02-03 [1] CRAN (R 4.1.2)
#> rmarkdown 2.11 2021-09-14 [1] CRAN (R 4.1.1)
#> rosm 0.2.5 2019-07-22 [1] CRAN (R 4.1.1)
#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.1.1)
#> rvest 1.0.2 2021-10-16 [1] CRAN (R 4.1.1)
#> s2 1.0.7 2021-09-28 [1] CRAN (R 4.1.1)
#> scales 1.1.1 2020-05-11 [1] CRAN (R 4.1.1)
#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.1.2)
#> sf * 1.0-6 2022-02-04 [1] CRAN (R 4.1.2)
#> sp * 1.4-6 2021-11-14 [1] CRAN (R 4.1.2)
#> stringi 1.7.6 2021-11-29 [1] CRAN (R 4.1.2)
#> stringr * 1.4.0 2019-02-10 [1] CRAN (R 4.1.1)
#> styler 1.6.2 2021-09-23 [1] CRAN (R 4.1.1)
#> tibble * 3.1.6 2021-11-07 [1] CRAN (R 4.1.2)
#> tidyr * 1.2.0 2022-02-01 [1] CRAN (R 4.1.2)
#> tidyselect 1.1.1 2021-04-30 [1] CRAN (R 4.1.1)
#> tidyverse * 1.3.1 2021-04-15 [1] CRAN (R 4.1.1)
#> tzdb 0.2.0 2021-10-27 [1] CRAN (R 4.1.1)
#> units 0.8-0 2022-02-05 [1] CRAN (R 4.1.2)
#> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.1.1)
#> vctrs 0.3.8 2021-04-29 [1] CRAN (R 4.1.1)
#> withr 2.4.3 2021-11-30 [1] CRAN (R 4.1.2)
#> wk 0.6.0 2022-01-03 [1] CRAN (R 4.1.2)
#> xfun 0.29 2021-12-14 [1] CRAN (R 4.1.2)
#> xml2 1.3.3 2021-11-30 [1] CRAN (R 4.1.2)
#> yaml 2.2.2 2022-01-25 [1] CRAN (R 4.1.2)
#>
#> [1] C:/Users/diego/Documents/R/win-library/4.1
#> [2] C:/Program Files/R/R-4.1.2/library
#>
#> ------------------------------------------------------------------------------