error in get_nlcd #88
Comments
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It seems to be working for me. This is using the CRAN version of everything but FedData (see Session Info, below). Perhaps reinstall from Github and try again? FedData::get_nlcd(template = FedData::meve, label = "meve", year = 2016)
#> class : RasterLayer
#> dimensions : 710, 635, 450850 (nrow, ncol, ncell)
#> resolution : 30, 30 (x, y)
#> extent : -1100475, -1081425, 1639875, 1661175 (xmin, xmax, ymin, ymax)
#> crs : +proj=aea +lat_0=23 +lon_0=-96 +lat_1=29.5 +lat_2=45.5 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs
#> source : meve_NLCD_Land_Cover_2016.tif
#> names : meve_NLCD_Land_Cover_2016
#> values : 11, 95 (min, max)
#> attributes :
#> ID COUNT value NLCD.Land.Cover.Class Red Green Blue Opacity
#> from: 0 7853863229 0 Unclassified 0 0 0 0
#> to : 255 0 255 255 255 255 255Created on 2022-07-23 by the reprex package (v2.0.1) Session infosessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.2.1 (2022-06-23)
#> os macOS Big Sur ... 10.16
#> system x86_64, darwin17.0
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz America/Denver
#> date 2022-07-23
#> pandoc 2.18 @ /usr/local/bin/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> class 7.3-20 2022-01-16 [1] CRAN (R 4.2.1)
#> classInt 0.4-7 2022-06-10 [1] CRAN (R 4.2.0)
#> cli 3.3.0 2022-04-25 [1] CRAN (R 4.2.0)
#> codetools 0.2-18 2020-11-04 [1] CRAN (R 4.2.1)
#> curl 4.3.2 2021-06-23 [1] CRAN (R 4.2.0)
#> data.table 1.14.2 2021-09-27 [1] CRAN (R 4.2.0)
#> DBI 1.1.3 2022-06-18 [1] CRAN (R 4.2.0)
#> digest 0.6.29 2021-12-01 [1] CRAN (R 4.2.0)
#> dplyr 1.0.9 2022-04-28 [1] CRAN (R 4.2.0)
#> e1071 1.7-11 2022-06-07 [1] CRAN (R 4.2.0)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.2.0)
#> evaluate 0.15 2022-02-18 [1] CRAN (R 4.2.0)
#> fansi 1.0.3 2022-03-24 [1] CRAN (R 4.2.0)
#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.2.0)
#> FedData 3.0.0.9000 2022-07-23 [1] CRAN (R 4.2.1)
#> fs 1.5.2 2021-12-08 [1] CRAN (R 4.2.0)
#> generics 0.1.3 2022-07-05 [1] CRAN (R 4.2.0)
#> glue 1.6.2 2022-02-24 [1] CRAN (R 4.2.0)
#> highr 0.9 2021-04-16 [1] CRAN (R 4.2.0)
#> hms 1.1.1 2021-09-26 [1] CRAN (R 4.2.0)
#> htmltools 0.5.3 2022-07-18 [1] CRAN (R 4.2.0)
#> httr 1.4.3 2022-05-04 [1] CRAN (R 4.2.0)
#> KernSmooth 2.23-20 2021-05-03 [1] CRAN (R 4.2.1)
#> knitr 1.39 2022-04-26 [1] CRAN (R 4.2.0)
#> lattice 0.20-45 2021-09-22 [1] CRAN (R 4.2.1)
#> lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.2.0)
#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.2.0)
#> pillar 1.8.0 2022-07-18 [1] CRAN (R 4.2.0)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.2.0)
#> proxy 0.4-27 2022-06-09 [1] CRAN (R 4.2.0)
#> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.2.0)
#> R.cache 0.16.0 2022-07-21 [1] CRAN (R 4.2.1)
#> R.methodsS3 1.8.2 2022-06-13 [1] CRAN (R 4.2.0)
#> R.oo 1.25.0 2022-06-12 [1] CRAN (R 4.2.0)
#> R.utils 2.12.0 2022-06-28 [1] CRAN (R 4.2.0)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.2.0)
#> raster 3.5-21 2022-06-27 [1] CRAN (R 4.2.0)
#> Rcpp 1.0.9 2022-07-08 [1] CRAN (R 4.2.0)
#> readr 2.1.2 2022-01-30 [1] CRAN (R 4.2.0)
#> reprex 2.0.1 2021-08-05 [1] CRAN (R 4.2.0)
#> rgdal 1.5-30 2022-04-08 [1] CRAN (R 4.2.0)
#> rlang 1.0.4 2022-07-12 [1] CRAN (R 4.2.0)
#> rmarkdown 2.14 2022-04-25 [1] CRAN (R 4.2.0)
#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.2.0)
#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.2.0)
#> sf 1.0-7 2022-03-07 [1] CRAN (R 4.2.0)
#> sp 1.5-0 2022-06-05 [1] CRAN (R 4.2.0)
#> stringi 1.7.8 2022-07-11 [1] CRAN (R 4.2.0)
#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.2.0)
#> styler 1.7.0 2022-03-13 [1] CRAN (R 4.2.0)
#> terra 1.5-21 2022-02-17 [1] CRAN (R 4.2.0)
#> tibble 3.1.7 2022-05-03 [1] CRAN (R 4.2.0)
#> tidyselect 1.1.2 2022-02-21 [1] CRAN (R 4.2.0)
#> tzdb 0.3.0 2022-03-28 [1] CRAN (R 4.2.0)
#> units 0.8-0 2022-02-05 [1] CRAN (R 4.2.0)
#> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.2.0)
#> vctrs 0.4.1 2022-04-13 [1] CRAN (R 4.2.0)
#> withr 2.5.0 2022-03-03 [1] CRAN (R 4.2.0)
#> xfun 0.31 2022-05-10 [1] CRAN (R 4.2.0)
#> yaml 2.3.5 2022-02-21 [1] CRAN (R 4.2.0)
#>
#> [1] /Library/Frameworks/R.framework/Versions/4.2/Resources/library
#>
#> ────────────────────────────────────────────────────────────────────────────── |
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Hi @YoJimboDurant. Any updates on this on your end? |
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Seems to be similar to ropensci/chirps#41, though I haven't successfully reproduced the issue. If anyone can send a reprex with session info, I'd appreciate it! Something like: # install.packages("reprex")
reprex::reprex(
FedData::get_nlcd(
template = FedData::meve,
label = "meve",
year = 2011
),
session_info = TRUE
) |
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Someone helpfully just sent: FedData::get_nlcd(template = FedData::meve, label = "meve", year = 2011)
#> Warning: /vsicurl/https://storage.googleapis.com/feddata-r/nlcd/
#> 2011_Land_Cover_L48.tif: No such file or directory (GDAL error 4)
#> Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'crop': [rast] file does not exist: /vsicurl/https://storage.googleapis.com/feddata-r/nlcd/2011_Land_Cover_L48.tifCreated on 2022-08-10 by the reprex package (v2.0.1) Session infosessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.2.1 (2022-06-23)
#> os CentOS Linux 7 (Core)
#> system x86_64, linux-gnu
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz US/Pacific
#> date 2022-08-10
#> pandoc 2.18 @ /usr/lib/rstudio-server/bin/pandoc/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.2.1)
#> class 7.3-20 2022-01-16 [2] CRAN (R 4.2.1)
#> classInt 0.4-7 2022-06-10 [1] CRAN (R 4.2.1)
#> cli 3.3.0 2022-04-25 [1] CRAN (R 4.2.1)
#> codetools 0.2-18 2020-11-04 [2] CRAN (R 4.2.1)
#> curl 4.3.2 2021-06-23 [1] CRAN (R 4.2.1)
#> data.table 1.14.2 2021-09-27 [1] CRAN (R 4.2.1)
#> DBI 1.1.3 2022-06-18 [1] CRAN (R 4.2.1)
#> digest 0.6.29 2021-12-01 [1] CRAN (R 4.2.1)
#> dplyr 1.0.9 2022-04-28 [1] CRAN (R 4.2.1)
#> e1071 1.7-11 2022-06-07 [1] CRAN (R 4.2.1)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.2.1)
#> evaluate 0.15 2022-02-18 [1] CRAN (R 4.2.1)
#> fansi 1.0.3 2022-03-24 [1] CRAN (R 4.2.1)
#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.2.1)
#> FedData 3.0.0.9000 2022-08-10 [1] Github (ropensci/FedData@57effd4)
#> fs 1.5.2 2021-12-08 [1] CRAN (R 4.2.1)
#> generics 0.1.3 2022-07-05 [1] CRAN (R 4.2.1)
#> glue 1.6.2 2022-02-24 [1] CRAN (R 4.2.1)
#> highr 0.9 2021-04-16 [1] CRAN (R 4.2.1)
#> hms 1.1.1 2021-09-26 [1] CRAN (R 4.2.1)
#> htmltools 0.5.3 2022-07-18 [1] CRAN (R 4.2.1)
#> httr 1.4.3 2022-05-04 [1] CRAN (R 4.2.1)
#> KernSmooth 2.23-20 2021-05-03 [2] CRAN (R 4.2.1)
#> knitr 1.39 2022-04-26 [1] CRAN (R 4.2.1)
#> lattice 0.20-45 2021-09-22 [2] CRAN (R 4.2.1)
#> lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.2.1)
#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.2.1)
#> pillar 1.8.0 2022-07-18 [1] CRAN (R 4.2.1)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.2.1)
#> proxy 0.4-27 2022-06-09 [1] CRAN (R 4.2.1)
#> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.2.1)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.2.1)
#> Rcpp 1.0.9 2022-07-08 [1] CRAN (R 4.2.1)
#> readr 2.1.2 2022-01-30 [1] CRAN (R 4.2.1)
#> reprex 2.0.1 2021-08-05 [1] CRAN (R 4.2.1)
#> rlang 1.0.4 2022-07-12 [1] CRAN (R 4.2.1)
#> rmarkdown 2.14 2022-04-25 [1] CRAN (R 4.2.1)
#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.2.1)
#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.2.1)
#> sf 1.0-8 2022-07-14 [1] CRAN (R 4.2.1)
#> sp 1.5-0 2022-06-05 [1] CRAN (R 4.2.1)
#> stringi 1.7.8 2022-07-11 [1] CRAN (R 4.2.1)
#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.2.1)
#> terra 1.6-7 2022-08-07 [1] CRAN (R 4.2.1)
#> tibble 3.1.8 2022-07-22 [1] CRAN (R 4.2.1)
#> tidyselect 1.1.2 2022-02-21 [1] CRAN (R 4.2.1)
#> tzdb 0.3.0 2022-03-28 [1] CRAN (R 4.2.1)
#> units 0.8-0 2022-02-05 [1] CRAN (R 4.2.1)
#> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.2.1)
#> vctrs 0.4.1 2022-04-13 [1] CRAN (R 4.2.1)
#> withr 2.5.0 2022-03-03 [1] CRAN (R 4.2.1)
#> xfun 0.32 2022-08-10 [1] CRAN (R 4.2.1)
#> yaml 2.3.5 2022-02-21 [1] CRAN (R 4.2.1)
#>
#> [1] /groups/porter/ym/R/x86_64-pc-linux-gnu-library/4.2
#> [2] /opt/R/4.2.1/lib/R/library
#>
#> ──────────────────────────────────────────────────────────────────────────────Differences from my config is that this is on CentOS, but that's about it. I'm asking the person to send the results of |
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It looks like they are running GDAL 2.3.2, which might be the issue. I'm trying to mimic their system in docker to replicate the problem. This does indeed seem to be a GDAL issue. With GDAL 2.4.2 (on Ubuntu 20.04): # gdalinfo /vsicurl/https://storage.googleapis.com/feddata-r/nlcd/2011_Land_Cover_L48.tif
ERROR 4: /vsicurl/https://storage.googleapis.com/feddata-r/nlcd/2011_Land_Cover_L48.tif: No such file or directory
gdalinfo failed - unable to open '/vsicurl/https://storage.googleapis.com/feddata-r/nlcd/2011_Land_Cover_L48.tif'.With GDAL 3.0.4 (on the same image): # gdalinfo /vsicurl/https://storage.googleapis.com/feddata-r/nlcd/2011_Land_Cover_L48.tif
Driver: GTiff/GeoTIFF
Files: /vsicurl/https://storage.googleapis.com/feddata-r/nlcd/2011_Land_Cover_L48.tif
/vsicurl/https://storage.googleapis.com/feddata-r/nlcd/2011_Land_Cover_L48.tif.aux.xml
Size is 161190, 104424
[...] |
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Now requiring GDAL (>= 3.0.0), which fixes the issue. |
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I am getting the following error with the test script for get_nlcd.
> NLCD <- get_nlcd( template = FedData::meve, label = "meve", year = 2016 ) Error in h(simpleError(msg, call)) : error in evaluating the argument 'x' in selecting a method for function 'crop': [rast] cannot open file: /vsicurl/https://storage.googleapis.com/feddata-r/nlcd/2016_Land_Cover_L48.tif In addition: Warning message:/vsicurl/https://storage.googleapis.com/feddata-r/nlcd/2016_Land_Cover_L48.tif' does not exist in the file system, and is not recognized as a supported dataset name. (GDAL error 4)`Canopy and Impervious layers seem to download OK. The file
https://storage.googleapis.com/feddata-r/nlcd/2016_Land_Cover_L48.tifexists and can be downloaded.The text was updated successfully, but these errors were encountered: