HTTP service unavailable

kalegoddess commented 3 months ago

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

joelangley9 commented 3 months ago

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).

pradisteph commented 3 months ago

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"

matteodefelice commented 3 months ago

same here.

GB-IHE commented 2 months ago

I have the same issue. Does anyone know a workaround?

dieghernan commented 2 months ago

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

``` r 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 #> #> ────────────────────────────────────────────────────────────────────────────── ```

GB-IHE commented 2 months ago

It works for me now, yeah. Thanks!

raffaem commented 1 month ago

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

webervienna commented 1 month ago

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`

rOpenGov / giscoR

HTTP service unavailable #95