Similar to previously documented issues here. The .SearchGranules() workaround to generate the appropriate links did work, but in the future I'd prefer not to deal with so many links individually as I move to larger spatial areas. I did notice that previous fixes were on previous versions of R (based on their original date) - could this be the issue?
Thanks
-Rishi
Session info below:
R version 4.5.2 (2025-10-31)
Platform: aarch64-apple-darwin20
Running under: macOS Sequoia 15.6.1
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.12.1
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: America/Chicago
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] luna_0.3-7 terra_1.8-98 sf_1.0-24 readr_2.1.6 lubridate_1.9.5 gridExtra_2.3 ggplot2_4.0.2 dplyr_1.2.0 auk_0.9.1
loaded via a namespace (and not attached):
[1] generics_0.1.4 class_7.3-23 KernSmooth_2.23-26 stringi_1.8.7 hms_1.1.4 digest_0.6.39 magrittr_2.0.4 evaluate_1.0.5 grid_4.5.2 timechange_0.4.0
[11] RColorBrewer_1.1-3 fastmap_1.2.0 e1071_1.7-17 DBI_1.2.3 httr_1.4.8 scales_1.4.0 codetools_0.2-20 cli_3.6.5 rlang_1.1.7 units_1.0-0
[21] withr_3.0.2 yaml_2.3.12 otel_0.2.0 tools_4.5.2 tzdb_0.5.0 curl_7.0.0 vctrs_0.7.1 R6_2.6.1
proxy_0.4-29 lifecycle_1.0.5
[31] classInt_0.4-11 stringr_1.6.0 pkgconfig_2.0.3 pillar_1.11.1 gtable_0.3.6 glue_1.8.0 Rcpp_1.1.1 xfun_0.56 tibble_3.3.1 tidyselect_1.2.1
[41] keyring_1.4.1 rstudioapi_0.18.0 knitr_1.51 farver_2.1.2 htmltools_0.5.9 rmarkdown_2.30 compiler_4.5.2 S7_0.2.1 `
Similar to previously documented issues here. The .SearchGranules() workaround to generate the appropriate links did work, but in the future I'd prefer not to deal with so many links individually as I move to larger spatial areas. I did notice that previous fixes were on previous versions of R (based on their original date) - could this be the issue?
Thanks
-Rishi
Session info below: