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rOpenGov
HTTP service unavailable
Attempts to use gisco_get_countries to get a world shape return this error:
HTTP Status Code: 503 - Service Unavailable
url https://gisco-services.ec.europa.eu/distribution/v2/countries/geojson/CNTR_RG_10M_2020_4326.geojson not reachable.
Please download manually. If you think this is a bug please consider opening an issue on https://github.com/ropengov/giscoR/issues
Returning NULL
Same issue here.
countries <- gisco_get_countries(country = countries_names, year = "2020", resolution = "01")
When i try to run this code for the 28 countries in my country_names vector, the same error as above arises for three countries (China, India and United Kingdom).
Same issue here: nuts0 <- giscoR::gisco_get_nuts( year = "2021", resolution = "3", nuts_level = "0" ) %>% sf::st_transform(crsLONGLAT)
HTTP Status Code: 503 - Service Unavailable
url https://gisco-services.ec.europa.eu/distribution/v2/nuts/geojson/NUTS_RG_03M_2021_4326_LEVL_0.geojson not reachable.
Please download manually. If you think this is a bug please consider opening an issue on https://github.com/ropengov/giscoR/issues
Returning NULL
Error in UseMethod("st_transform") :
no applicable method for 'st_transform' applied to an object of class "NULL"
Sometimes these errors are from the server side, not from the package itself.
I think it is solved now, can you confirm?
Reprex:
library(giscoR)
library(dplyr)
@kalegoddess
gisco_get_countries(
year = 2020, resolution = 10,
epsg = 4326, cache_dir = tempdir()
)
#> Simple feature collection with 257 features and 11 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -180 ymin: -89.9 xmax: 180 ymax: 83.65872
#> Geodetic CRS: WGS 84
#> First 10 features:
#> CNTR_ID NAME_GERM CNTR_NAME
#> 1 AD Andorra Andorra
#> 2 AE Vereinigten Arabischen Emirate الإمارات العربية المتحدة
#> 3 AF Afghanistan افغانستان-افغانستان
#> 4 AG Antigua und Barbuda Antigua and Barbuda
#> 5 AI Anguilla Anguilla
#> 6 AL Albanien Shqipëria
#> 7 AM Armenien Հայաստան
#> 8 AO Angola Angola
#> 9 AR Argentinien Argentina
#> 10 AS Amerikanisch-Samoa American Samoa-Sāmoa Amelika
#> ISO3_CODE CAPT NAME_ENGL NAME_FREN
#> 1 AND Andorra la Vella Andorra Andorre
#> 2 ARE Abu Dhabi United Arab Emirates Émirats arabes unis
#> 3 AFG Kabul Afghanistan Afghanistan
#> 4 ATG St John's Antigua and Barbuda Antigua-et-Barbuda
#> 5 AIA The Valley Anguilla Anguilla
#> 6 ALB Tirana Albania Albanie
#> 7 ARM Yerevan Armenia Arménie
#> 8 AGO Luanda Angola Angola
#> 9 ARG Buenos Aires Argentina Argentine
#> 10 ASM Pago Pago American Samoa Samoa américaines
#> SVRG_UN EU_STAT CC_STAT EFTA_STAT
#> 1 UN Member State F F F
#> 2 UN Member State F F F
#> 3 UN Member State F F F
#> 4 UN Member State F F F
#> 5 UK Non-Self-Governing Territory F F F
#> 6 UN Member State F T F
#> 7 UN Member State F F F
#> 8 UN Member State F F F
#> 9 UN Member State F F F
#> 10 US Non-Self-Governing Territory F F F
#> geometry
#> 1 MULTIPOLYGON (((1.53521 42....
#> 2 MULTIPOLYGON (((56.1464 25....
#> 3 MULTIPOLYGON (((71.28622 38...
#> 4 MULTIPOLYGON (((-61.70749 1...
#> 5 MULTIPOLYGON (((-63.08349 1...
#> 6 MULTIPOLYGON (((19.75862 42...
#> 7 MULTIPOLYGON (((44.94132 41...
#> 8 MULTIPOLYGON (((13.47062 -5...
#> 9 MULTIPOLYGON (((-66.04926 -...
#> 10 MULTIPOLYGON (((-169.4544 -...
@joelangley9
countries_names <- c("China", "India", "United Kingdom")
gisco_get_countries(
country = countries_names, year = "2020",
resolution = "01",
cache_dir = tempdir()
)
#> Simple feature collection with 3 features and 11 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -8.647188 ymin: 6.755997 xmax: 134.7797 ymax: 60.84522
#> Geodetic CRS: WGS 84
#> ISO3_CODE CAPT CNTR_NAME CNTR_ID NAME_GERM CC_STAT
#> 1 CHN Beijing 中國 CN China F
#> 2 IND New Delhi India-भारत IN Indien F
#> 3 GBR London United Kingdom UK Vereinigtes Königreich F
#> EU_STAT NAME_ENGL EFTA_STAT SVRG_UN NAME_FREN
#> 1 F China F UN Member State Chine
#> 2 F India F UN Member State Inde
#> 3 F United Kingdom F UN Member State Royaume-Uni
#> geometry
#> 1 MULTIPOLYGON (((123.4666 53...
#> 2 MULTIPOLYGON (((91.93828 23...
#> 3 MULTIPOLYGON (((-3.40836 58...
@pradisteph
giscoR::gisco_get_nuts(
year = "2021", resolution = "3",
nuts_level = "0", cache_dir = tempdir()
) %>%
sf::st_transform(4326)
#> Simple feature collection with 37 features and 9 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -63.15176 ymin: -21.38696 xmax: 55.83509 ymax: 80.83427
#> Geodetic CRS: WGS 84
#> First 10 features:
#> NUTS_ID LEVL_CODE URBN_TYPE CNTR_CODE NAME_LATN
#> 1 BG 0 0 BG Bulgaria
#> 2 CH 0 0 CH Schweiz/Suisse/Svizzera
#> 3 AL 0 0 AL Shqipëria
#> 4 CZ 0 0 CZ Česko
#> 5 BE 0 0 BE Belgique/België
#> 6 AT 0 0 AT Österreich
#> 7 DE 0 0 DE Deutschland
#> 8 CY 0 0 CY Kýpros
#> 9 DK 0 0 DK Danmark
#> 10 EE 0 0 EE Eesti
#> NUTS_NAME MOUNT_TYPE COAST_TYPE geo
#> 1 България 0 0 BG
#> 2 Schweiz/Suisse/Svizzera 0 0 CH
#> 3 Shqipëria 0 0 AL
#> 4 Česko 0 0 CZ
#> 5 Belgique/België 0 0 BE
#> 6 Österreich 0 0 AT
#> 7 Deutschland 0 0 DE
#> 8 Κύπρος 0 0 CY
#> 9 Danmark 0 0 DK
#> 10 Eesti 0 0 EE
#> geometry
#> 1 MULTIPOLYGON (((22.97854 43...
#> 2 MULTIPOLYGON (((8.567406 47...
#> 3 MULTIPOLYGON (((19.75089 42...
#> 4 MULTIPOLYGON (((14.37233 51...
#> 5 MULTIPOLYGON (((4.83904 51....
#> 6 MULTIPOLYGON (((15.14986 48...
#> 7 MULTIPOLYGON (((8.635926 54...
#> 8 MULTIPOLYGON (((33.77666 34...
#> 9 MULTIPOLYGON (((15.19441 55...
#> 10 MULTIPOLYGON (((25.77586 59...
Created on 2024-09-23 with reprex v2.1.1
Session info
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.4.1 (2024-06-14)
#> os Ubuntu 20.04.6 LTS
#> system x86_64, linux-gnu
#> ui X11
#> language (EN)
#> collate C.UTF-8
#> ctype C.UTF-8
#> tz UTC
#> date 2024-09-23
#> pandoc 3.1.1 @ /usr/lib/rstudio-server/bin/quarto/bin/tools/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> class 7.3-22 2023-05-03 [2] CRAN (R 4.4.1)
#> classInt 0.4-10 2023-09-05 [1] RSPM (R 4.4.0)
#> cli 3.6.3 2024-06-21 [1] RSPM (R 4.4.0)
#> countrycode 1.6.0 2024-03-22 [1] RSPM (R 4.4.0)
#> DBI 1.2.3 2024-06-02 [1] RSPM (R 4.4.0)
#> digest 0.6.37 2024-08-19 [1] RSPM (R 4.4.0)
#> dplyr * 1.1.4 2023-11-17 [1] RSPM (R 4.4.0)
#> e1071 1.7-16 2024-09-16 [1] RSPM (R 4.4.0)
#> evaluate 1.0.0 2024-09-17 [1] RSPM (R 4.4.0)
#> fansi 1.0.6 2023-12-08 [1] RSPM (R 4.4.0)
#> fastmap 1.2.0 2024-05-15 [1] RSPM (R 4.4.0)
#> fs 1.6.4 2024-04-25 [1] RSPM (R 4.4.0)
#> generics 0.1.3 2022-07-05 [1] RSPM (R 4.4.0)
#> geojsonsf 2.0.3 2022-05-30 [1] RSPM (R 4.4.0)
#> giscoR * 0.6.0 2024-09-23 [1] local
#> glue 1.7.0 2024-01-09 [1] RSPM (R 4.4.0)
#> htmltools 0.5.8.1 2024-04-04 [1] RSPM (R 4.4.0)
#> KernSmooth 2.23-24 2024-05-17 [2] CRAN (R 4.4.1)
#> knitr 1.48 2024-07-07 [1] RSPM (R 4.4.0)
#> lifecycle 1.0.4 2023-11-07 [1] RSPM (R 4.4.0)
#> magrittr 2.0.3 2022-03-30 [1] RSPM (R 4.4.0)
#> pillar 1.9.0 2023-03-22 [1] RSPM (R 4.4.0)
#> pkgconfig 2.0.3 2019-09-22 [1] RSPM (R 4.4.0)
#> proxy 0.4-27 2022-06-09 [1] RSPM (R 4.4.0)
#> R6 2.5.1 2021-08-19 [1] RSPM (R 4.4.0)
#> Rcpp 1.0.13 2024-07-17 [1] RSPM (R 4.4.0)
#> reprex 2.1.1 2024-07-06 [1] RSPM (R 4.4.0)
#> rlang 1.1.4 2024-06-04 [1] RSPM (R 4.4.0)
#> rmarkdown 2.28 2024-08-17 [1] RSPM (R 4.4.0)
#> rstudioapi 0.16.0 2024-03-24 [1] RSPM (R 4.4.0)
#> s2 1.1.7 2024-07-17 [1] RSPM (R 4.4.0)
#> sessioninfo 1.2.2 2021-12-06 [1] RSPM (R 4.4.0)
#> sf 1.0-16 2024-03-24 [1] RSPM (R 4.4.0)
#> tibble 3.2.1 2023-03-20 [1] RSPM (R 4.4.0)
#> tidyselect 1.2.1 2024-03-11 [1] RSPM (R 4.4.0)
#> units 0.8-5 2023-11-28 [1] RSPM (R 4.4.0)
#> utf8 1.2.4 2023-10-22 [1] RSPM (R 4.4.0)
#> vctrs 0.6.5 2023-12-01 [1] RSPM (R 4.4.0)
#> withr 3.0.1 2024-07-31 [1] RSPM (R 4.4.0)
#> wk 0.9.3 2024-09-06 [1] RSPM (R 4.4.0)
#> xfun 0.47 2024-08-17 [1] RSPM (R 4.4.0)
#> yaml 2.3.10 2024-07-26 [1] RSPM (R 4.4.0)
#>
#> [1] /cloud/lib/x86_64-pc-linux-gnu-library/4.4
#> [2] /opt/R/4.4.1/lib/R/library
#>
#> ──────────────────────────────────────────────────────────────────────────────
I have the same issue as of today:
geodata <- get_eurostat_geospatial(nuts_level = 2, year = 2021)
Extracting data using giscoR package, please report issues on https://github.com/rOpenGov/giscoR/issues
Cache management as per giscoR. see 'giscoR::gisco_get_nuts()'
HTTP Status Code: 503 - Service Unavailable
url
https://gisco-services.ec.europa.eu/distribution/v2/nuts/geojson/NUTS_RG_60M_2021_4326_LEVL_2.geojson not reachable.
Please download manually. If you think this is a bug please consider opening an issue on https://github.com/ropengov/giscoR/issues
Returning `NULL`
- It's not a server-side problem as the link works and I am able to download the file manually
- I don't understand how to load it after I have downloaded it manually
I have the same issue as of today with accessing nuts3 level information
> nuts3<-data.table(gisco_get_nuts(nuts_level=3,year="2003"))
> HTTP Status Code: 503 - Service Unavailable
>
> url
> https://gisco-services.ec.europa.eu/distribution/v2/nuts/geojson/NUTS_RG_20M_2003_4326_LEVL_3.geojson not reachable.
>
> Please download manually. If you think this is a bug please consider opening an issue on https://github.com/ropengov/giscoR/issues
> Returning `NULL`
@webervienna should be working now:
library(data.table)
nuts3<-data.table(giscoR::gisco_get_nuts(nuts_level=3,
year="2003", cache_dir = tempdir()))
nuts3
#> NUTS_ID LEVL_CODE CNTR_CODE NUTS_NAME geo
#> <char> <num> <char> <char> <char>
#> 1: FI1A3 3 FI Lappi FI1A3
#> 2: SE082 3 SE Norrbottens län SE082
#> 3: SE081 3 SE Västerbottens län SE081
#> 4: FI134 3 FI Kainuu FI134
#> 5: NL334 3 NL Oost-Zuid-Holland NL334
#> ---
#> 1429: BG343 3 BG Yambol BG343
#> 1430: BG423 3 BG Pazardzhik BG423
#> 1431: BG413 3 BG Blagoevgrad BG413
#> 1432: BG425 3 BG Kardzhali BG425
#> 1433: BG424 3 BG Smolyan BG424
#> geometry
#> <sfc_MULTIPOLYGON>
#> 1: MULTIPOLYGON (((20.76583 69...
#> 2: MULTIPOLYGON (((24.15643 65...
#> 3: MULTIPOLYGON (((19.3022 63....
#> 4: MULTIPOLYGON (((30.14952 63...
#> 5: MULTIPOLYGON (((4.803471 52...
#> ---
#> 1429: MULTIPOLYGON (((27.00516 42...
#> 1430: MULTIPOLYGON (((24.45386 41...
#> 1431: MULTIPOLYGON (((23.65192 41...
#> 1432: MULTIPOLYGON (((25.94882 41...
#> 1433: MULTIPOLYGON (((24.06462 41...
Created on 2024-12-27 with reprex v2.1.1
That’s great thank you very much!
From: "Diego H." @.> Reply to: rOpenGov/giscoR @.> Date: Friday, 27. December 2024 at 12:56 To: rOpenGov/giscoR @.> Cc: WEBER Daniela @.>, Mention @.***> Subject: Re: [rOpenGov/giscoR] HTTP service unavailable (Issue #95)
@weberviennahttps://protect.checkpoint.com/v2/r02/___https:/github.com/webervienna___.YzJlOmlpYXNhOmM6bzo0YWQxZmFmY2Q1YWJjNTZhYjc2NmM5ZGE2ZTJiOTg2NDo3OmU2MjA6YTJmMGI0MTA1MmQyOWI2NjVlZDA0OTJiODI1ZmZiYzk1NzM1YzI5ZWM5YjcyZjFiZWM1NmYwNTdiN2MwNDBiZTpoOlQ6Tg should be working now:
library(data.table)
nuts3<-data.table(giscoR::gisco_get_nuts(nuts_level=3,
year="2003", cache_dir = tempdir()))
nuts3
#> NUTS_ID LEVL_CODE CNTR_CODE NUTS_NAME geo
#>
#> 1: FI1A3 3 FI Lappi FI1A3
#> 2: SE082 3 SE Norrbottens län SE082
#> 3: SE081 3 SE Västerbottens län SE081
#> 4: FI134 3 FI Kainuu FI134
#> 5: NL334 3 NL Oost-Zuid-Holland NL334
#> ---
#> 1429: BG343 3 BG Yambol BG343
#> 1430: BG423 3 BG Pazardzhik BG423
#> 1431: BG413 3 BG Blagoevgrad BG413
#> 1432: BG425 3 BG Kardzhali BG425
#> 1433: BG424 3 BG Smolyan BG424
#> geometry
#> <sfc_MULTIPOLYGON>
#> 1: MULTIPOLYGON (((20.76583 69...
#> 2: MULTIPOLYGON (((24.15643 65...
#> 3: MULTIPOLYGON (((19.3022 63....
#> 4: MULTIPOLYGON (((30.14952 63...
#> 5: MULTIPOLYGON (((4.803471 52...
#> ---
#> 1429: MULTIPOLYGON (((27.00516 42...
#> 1430: MULTIPOLYGON (((24.45386 41...
#> 1431: MULTIPOLYGON (((23.65192 41...
#> 1432: MULTIPOLYGON (((25.94882 41...
#> 1433: MULTIPOLYGON (((24.06462 41...
Created on 2024-12-27 with reprex v2.1.1https://protect.checkpoint.com/v2/r02/___https:/reprex.tidyverse.org___.YzJlOmlpYXNhOmM6bzo0YWQxZmFmY2Q1YWJjNTZhYjc2NmM5ZGE2ZTJiOTg2NDo3OjY5Mjc6M2NjN2Q2OGQ3MzE5N2RkYjYyMGRhY2E3YTMwMTRkMGI0YTdjYzA4Y2E0ZjAwZjJiMzY4MzAyY2U0YjYwNTE0ZjpoOlQ6Tg
— Reply to this email directly, view it on GitHubhttps://protect.checkpoint.com/v2/r02/___https:/github.com/rOpenGov/giscoR/issues/95%23issuecomment-2563625283___.YzJlOmlpYXNhOmM6bzo0YWQxZmFmY2Q1YWJjNTZhYjc2NmM5ZGE2ZTJiOTg2NDo3OjVlY2Q6NzQ4ZmE4OTBiZDRlN2I5YzkxY2U1NDcwZDE5MzUwYjk0ZTIwNjU4NDdiMWQwYTIyZmU4OWEyZmZiZTdlZTE3ZjpoOlQ6Tg, or unsubscribehttps://protect.checkpoint.com/v2/r02/___https:/github.com/notifications/unsubscribe-auth/A26QTUTZGLYSHX26AYOO3CD2HU56ZAVCNFSM6AAAAABNJPGL3KVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDKNRTGYZDKMRYGM___.YzJlOmlpYXNhOmM6bzo0YWQxZmFmY2Q1YWJjNTZhYjc2NmM5ZGE2ZTJiOTg2NDo3OmNlZDY6YWM5NTgyMGU1MTVhY2UxM2RhMGIwYjJkYTJjNGIxZDI2NjQ3OTJhNmIwMDg4NGQ0OWIwOWRmYzVhYWYxZjZkZDpoOlQ6Tg. You are receiving this because you were mentioned.Message ID: @.***>