Closed statnmap closed 1 year ago
R version 4.2.2 (2022-10-31 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale: [1] LC_COLLATE=French_France.utf8 LC_CTYPE=French_France.utf8 LC_MONETARY=French_France.utf8 [4] LC_NUMERIC=C LC_TIME=French_France.utf8
attached base packages: [1] parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] TMB_1.9.2 tidyr_1.3.0 stringr_1.5.0 sf_1.0-9 raster_3.6-14 ggplot2_3.4.1 INLA_23.02.04 sp_1.6-0
[9] foreach_1.5.2 Matrix_1.5-3 dplyr_1.1.0 tictoc_1.1
loaded via a namespace (and not attached):
[1] tidyselect_1.2.0 terra_1.7-3 purrr_1.0.1 splines_4.2.2 lattice_0.20-45 colorspace_2.1-0
[7] vctrs_0.5.2 generics_0.1.3 s2_1.1.2 utf8_1.2.3 rlang_1.0.6 e1071_1.7-13
[13] pillar_1.8.1 glue_1.6.2 withr_2.5.0 DBI_1.1.3 RColorBrewer_1.1-3 wk_0.7.1
[19] lifecycle_1.0.3 munsell_0.5.0 gtable_0.3.1 codetools_0.2-19 labeling_0.4.2 class_7.3-21
[25] fansi_1.0.4 Rcpp_1.0.10 KernSmooth_2.23-20 scales_1.2.1 classInt_0.4-8 farver_2.1.1
[31] stringi_1.7.12 splancs_2.01-43 grid_4.2.2 rprojroot_2.0.3 here_1.0.1 rgdal_1.6-4
[37] cli_3.6.0 tools_4.2.2 magrittr_2.0.3 proxy_0.4-27 tibble_3.1.8 pkgconfig_2.0.3
[43] rstudioapi_0.14 iterators_1.0.14 R6_2.5.1 units_0.8-1 compiler_4.2.2
R version 4.0.2 (2020-06-22) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 19044)
Matrix products: default
locale: [1] LC_COLLATE=French_France.1252 LC_CTYPE=French_France.1252 LC_MONETARY=French_France.1252 [4] LC_NUMERIC=C LC_TIME=French_France.1252
attached base packages: [1] parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] TMB_1.7.20 tidyr_1.1.3 stringr_1.4.0 sf_0.9-8
[5] raster_3.4-10 ggplot2_3.3.3 INLA_20.03.17 foreach_1.5.1
[9] sp_1.4-5 Matrix_1.2-18 dplyr_1.0.6 tictoc_1.0
[13] RevoUtils_11.0.2 RevoUtilsMath_11.0.0
loaded via a namespace (and not attached):
[1] tidyselect_1.1.1 purrr_0.3.4 splines_4.0.2 lattice_0.20-41 colorspace_2.0-1
[6] vctrs_0.3.8 generics_0.1.3 utf8_1.2.1 blob_1.2.3 rlang_0.4.11
[11] e1071_1.7-7 pillar_1.6.1 glue_1.4.2 withr_2.5.0 DBI_1.1.1
[16] RColorBrewer_1.1-2 lifecycle_1.0.0 munsell_0.5.0 gtable_0.3.0 codetools_0.2-16
[21] labeling_0.4.2 class_7.3-17 fansi_0.4.2 Rcpp_1.0.6 KernSmooth_2.23-17
[26] scales_1.1.1 backports_1.2.1 classInt_0.4-3 farver_2.1.0 digest_0.6.27
[31] stringi_1.6.2 splancs_2.01-42 grid_4.0.2 rprojroot_1.3-2 cli_3.2.0
[36] here_0.1 rgdal_1.5-23 tools_4.0.2 magrittr_2.0.1 proxy_0.4-25
[41] tibble_3.1.2 crayon_1.5.2 pkgconfig_2.0.3 ellipsis_0.3.2 rstudioapi_0.13
[46] assertthat_0.2.1 iterators_1.0.13 R6_2.5.0 units_0.7-1 compiler_4.0.2
je valide.
Je valide.
As dev, I'd like to know the effects of spatial resolution on outputs comparison, so that I can decide if and how to set up unit tests for higher resolution
Client - Validation
=> https://balglave.github.io/FishMap/articles/dev-check-model-reproducibility-highres.html
Dev - Tech
k=0.75
and monthsBlocked
We need to verify that the outputs on your machine are the same as ours, while using the same "seed" and with a higher spatial resolution, so that we can properly define the future unit tests.
=> The
k
value was updated to0.75
, and the number of months was increased to10:12
in themain.R
file, so that we can compare higher resolution outputs.Actions:
FISHMAP_OUTPUT_DIR="~/shared/outputs_fishmap_highres"
so that the directory is different from the previous one.sessionInfo()
after the run, and add it in your comment below