diff --git a/.gitignore b/.gitignore index 4bc18f0..15e70a3 100755 --- a/.gitignore +++ b/.gitignore @@ -3,6 +3,9 @@ # watershed boundary data folder input/ +# csv files +*.csv + # output rds output/*.rds @@ -73,4 +76,5 @@ papers/ figs/ **/*.error -**/*.log \ No newline at end of file +**/*.log + diff --git a/_targets.R b/_targets.R index 767ca0b..9b0d7e6 100644 --- a/_targets.R +++ b/_targets.R @@ -43,51 +43,37 @@ crew_default <- workers = 12L ) -# mq_default <- - # targets::tar_resources( - # clustermq = - # targets::tar_resources_clustermq( - # template = - # list( - # memory = 8, - # email = "songi2@nih.gov", - # log_file = "output/clustermq_log.log", - # error_file = "output/clustermq_error.error", - # partition = "geo", - # cores = 1 - # ) - # ) - # ) -mq_twi <- - targets::tar_resources( - clustermq = - targets::tar_resources_clustermq( - template = - list( - memory = 8, - email = "songi2@nih.gov", - log_file = "output/clustermq_log.log", - error_file = "output/clustermq_error.error", - partition = "geo", - cores = 10 - ) - ) - ) -mq_nass <- - targets::tar_resources( - clustermq = - targets::tar_resources_clustermq( - template = - list( - memory = 8, - email = "songi2@nih.gov", - log_file = "output/clustermq_log.log", - error_file = "output/clustermq_error.error", - partition = "geo", - cores = 15L - ) - ) - ) + +# mq_twi <- +# targets::tar_resources( +# clustermq = +# targets::tar_resources_clustermq( +# template = +# list( +# memory = 8, +# email = "messierkp@nih.gov", +# log_file = "output/clustermq_log.log", +# error_file = "output/clustermq_error.error", +# partition = "geo", +# cores = 10 +# ) +# ) +# ) +# mq_nass <- +# targets::tar_resources( +# clustermq = +# targets::tar_resources_clustermq( +# template = +# list( +# memory = 8, +# email = "messierkp@nih.gov", +# log_file = "output/clustermq_log.log", +# error_file = "output/clustermq_error.error", +# partition = "geo", +# cores = 15L +# ) +# ) +# ) # crew_default <- # crew.cluster::crew_controller_slurm( @@ -131,14 +117,13 @@ tar_option_set( "nhdplusTools","exactextractr", "dataRetrieval", "beepr", "lubridate", "dplyr"), format = "qs", controller = crew_controller_group(crew_default, controller_nass, controller_twi), - resources =# mq_default, - tar_resources( + resources = tar_resources( crew = tar_resources_crew( controller = "controller_default" ) ), - garbage_collection = TRUE, - library = "~/r-libs" + garbage_collection = TRUE +# library = "~/r-libs" # debug = "olm_huc12_9dae2790e8379df8", # cue = tar_cue(mode = "never") @@ -152,14 +137,14 @@ tar_option_set( # # # add the slurm username to the crew controller - controller = crew.cluster::crew_controller_slurm( - name = "pipeline_kpm", - workers = 12, - slurm_log_output="/slurm_messages/pipeline_kpm.out", - slurm_log_error="/slurm_messages/pipeline_kpm.err", + # controller = crew.cluster::crew_controller_slurm( + # name = "pipeline_kpm", + # workers = 12, + # slurm_log_output="/slurm_messages/pipeline_kpm.out", + # slurm_log_error="/slurm_messages/pipeline_kpm.err", # script_lines = "module load R", - slurm_partition = "triton" - ) + # slurm_partition = "triton" + # ) # # Set other options as needed. ) @@ -353,7 +338,7 @@ list( ), tar_target( name = huc_nass, - command = calc_nass(huc_level = huc_levels, n_cores = 15), + command = calc_nass(huc_level = huc_levels), # since the study period is 2008-2022 pattern = map(huc_levels), iteration = "list", diff --git a/_targets/meta/meta b/_targets/meta/meta index ad86410..faa1289 100644 --- a/_targets/meta/meta +++ b/_targets/meta/meta @@ -1,27 +1,28 @@ name|type|data|command|depend|seed|path|time|size|bytes|format|repository|iteration|parent|children|seconds|warnings|error -.Random.seed|object|25c2f11dfcfb888d||||||||||||||| +.Random.seed|object|54d5c70ff2e67a4e||||||||||||||| +=======||||||||||||||||| a|object|dd6fdff44a2cf4e2||||||||||||||| AZO.geometry|object|65f8ba2ac1681741||||||||||||||| AZO.HUC.join|object|869be4704e4c3d0e||||||||||||||| AZO.t|object|f43561e0fac576a5||||||||||||||| -calc_nass|function|cc551a0774a513a6||||||||||||||| +calc_nass|function|36ca6c08df193559||||||||||||||| calc_olm|function|70631b18f4c9034a||||||||||||||| calc_olm_huc|function|6b3d6059dd5f1ca1||||||||||||||| calc_olm_point|function|febfb46f0de2187e||||||||||||||| calc_tc_huc|function|84eeee54b963e449||||||||||||||| calc_tc_point|function|2b3febd928ef6b04||||||||||||||| -calc_twi|function|38b555a784717ba4||||||||||||||| +calc_twi|function|63e86b50a3b57e54||||||||||||||| class.df|object|7c39da581a66f478||||||||||||||| class.possible.names|object|721ba574a8e8a6c0||||||||||||||| combine_state_data|function|c1067e509b53a212||||||||||||||| -controller_nass|object|e1ba6666bf6e178a||||||||||||||| -controller_twi|object|aef41a50c5aa4dcf||||||||||||||| +controller_nass|object|472e891bc203e7b1||||||||||||||| +controller_twi|object|dab0f657ecf163ec||||||||||||||| coords_mat|stem|29a93bd67ca78c5f|503df07fba4d9a96|337c5f07b878144a|-1325898640||t19810.6691524591s|31da326e08ce3bbc|480689|qs|local|vector|||0.002|| covariate_prep|function|0f1a6c036146864c||||||||||||||| create_dummies|stem|9967dc623a964f93|adf287298fe34b32|40cbe923fa64cbd2|1525017976||t19807.803751512s|a99a8404db22efe7|175250|qs|local|vector|||2.99|| create_dummy_vars|function|e46493e1d28e291b||||||||||||||| create_olm_combined|function|2a0af497a54abfd2||||||||||||||| -crew_default|object|32a4470e4bdc9bd0||||||||||||||| +crew_default|object|3aecaa47f335e277||||||||||||||| data.AZO|object|18886f09e06acbe4||||||||||||||| drop_bad_cols|function|8336546cb99c9058||||||||||||||| drop_cols|stem|457320163977a1f5|912c35726ac745c3|d35f616ce2d80810|1706491127||t19807.8037533784s||94022|qs|local|vector|||0.044||Cant subset columns past the end.1m22m36mℹ39m Location 882 doesnt exist.36mℹ39m There are only 881 columns. @@ -118,8 +119,8 @@ lasso_spatial_kfold_fit|function|62531baace274dd1||||||||||||||| layername|object|db6226deef3e12ff||||||||||||||| list_raster|function|69f71f8692547c86||||||||||||||| mq_default|object|23741235a7688606||||||||||||||| -mq_nass|object|0d6e20937a33c949||||||||||||||| -mq_twi|object|6faef688f3ca3f33||||||||||||||| +mq_nass|object|168d37fee8de2153||||||||||||||| +mq_twi|object|53e2ec02ee42f583||||||||||||||| olm_buffer|pattern|09d14c0de9bd1042|c94f9c40fb8f9ccb||612605064||||6264121|qs|local|vector||olm_buffer_62e541153e824709*olm_buffer_4bd3151337ea2d37*olm_buffer_3ee61c62ae2e52cf*olm_buffer_dfa74161717917fc*olm_buffer_8ecc171b9e0e3c35*olm_buffer_583ec3336bf8639b*olm_buffer_9dae2790e8379df8|206.106|| olm_buffer_3ee61c62ae2e52cf|branch|02e235e124e74b47|c94f9c40fb8f9ccb|bb4e102393f19b79|772917164||t19841.711692413s|c89381924cd099de|721075|qs|local|vector|olm_buffer||15.184|Polygons transformed to raster CRS EPSG4326| olm_buffer_4bd3151337ea2d37|branch|b3b3169ff8cdc9af|c94f9c40fb8f9ccb|b6701349cb6bedd2|896431965||t19841.7115165035s|dd9663464161321c|682951|qs|local|vector|olm_buffer||14.614|Polygons transformed to raster CRS EPSG4326| @@ -149,7 +150,9 @@ olm_huc08_9dae2790e8379df8|branch|0bd473645ec7980c|cda9431975e84385|974644f028df olm_huc08_dfa74161717917fc|branch|56507db938e732c3|cda9431975e84385|f9acd5b77c02dfd2|-1554074417||t19844.9647157761s|ea2f19ab2c8bd19d|383837|qs|local|vector|olm_huc08||335.539|package geotargets was built under R version 4.3.3. Using an external vector in selections was deprecated in tidyselect 1.1.0.ℹ Please use all_of or any_of instead. Was data selecthucunit Now data selectall_ofhucunitSee httpstidyselect.rlib.orgreferencefaqexternalvector.html.| olm_huc10|pattern|721bdc4b8efad424|d2ae1c100bc8e9ed||964679203||||7180989|qs|local|vector||olm_huc10_62e541153e824709*olm_huc10_4bd3151337ea2d37*olm_huc10_3ee61c62ae2e52cf*olm_huc10_dfa74161717917fc*olm_huc10_8ecc171b9e0e3c35*olm_huc10_583ec3336bf8639b*olm_huc10_9dae2790e8379df8|2569.918|| olm_huc10_3ee61c62ae2e52cf|branch|2f5fd3171fe00f5c|d2ae1c100bc8e9ed|3ca159d8ca76c313|-1817647616||t19844.8225506915s|03f656baf6926ba1|547735|qs|local|vector|olm_huc10||256.818|| +olm_huc10_4bd3151337ea2d37|branch|63383cf9775e538d|d2ae1c100bc8e9ed|d0c7c7edd9472f1f|-673444934||t19845.9866560666s|c8b02d94e977816e|522432|qs|local|vector|olm_huc10||529.004|| olm_huc10_583ec3336bf8639b|branch|d5e17bf4f1ea9bc1|d2ae1c100bc8e9ed|926ea6376a8ea12d|2034659847||t19844.8345227258s|b4920c52511fca71|1206305|qs|local|vector|olm_huc10||486.194|| +olm_huc10_62e541153e824709|branch|07fbde13d2267409|d2ae1c100bc8e9ed|ac3c1c4d442d3074|1501924846||t19845.9805323296s|6e7c9e21a11fce1b|500821|qs|local|vector|olm_huc10||626.153|Using an external vector in selections was deprecated in tidyselect 1.1.0.ℹ Please use all_of or any_of instead. 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-olm_names|stem|2f813485ea804600|2faa29dd2e0abd4c|2c530c1562a7fbd1|-479281851||t19839.5904502847s|85ff572ae8dcd805|125|qs|local|vector||olm_names_14a8e2dbd96c3fd2*olm_names_893b1e27436cfad1*olm_names_f8ddc49f327b64d3*olm_names_c6c77c5d5509f028*olm_names_03e100ac06dc2e05*olm_names_4eba0b00a0446cce*olm_names_e8a90d29a8bdb132|0.16|| +olm_names|stem|2f813485ea804600|2faa29dd2e0abd4c|2c530c1562a7fbd1|-479281851||t19845.8537803669s|85ff572ae8dcd805|125|qs|local|vector||olm_names_14a8e2dbd96c3fd2*olm_names_893b1e27436cfad1*olm_names_f8ddc49f327b64d3*olm_names_c6c77c5d5509f028*olm_names_03e100ac06dc2e05*olm_names_4eba0b00a0446cce*olm_names_e8a90d29a8bdb132|0.16|| olm_oc_crop|stem|3e3dfe9bd27c190d|286bdfd32a8ccc56|e8db6041a9d6f9ff|-390664998||t19836.6507074066s|02919f660f138b58|472443129|format_custom&read=ZnVuY3Rpb24gKHBhdGgpIAp0ZXJyYTo6cmFzdChwYXRoKQ&write=ZnVuY3Rpb24gKG9iamVjdCwgcGF0aCkgCnRlcnJhOjp3cml0ZVJhc3Rlcih4ID0gb2JqZWN0LCBmaWxlbmFtZSA9IHBhdGgsIGZpbGV0eXBlID0gIkdUaWZmIiwgCiAgICBvdmVyd3JpdGUgPSBUUlVFKQ&marshal=ZnVuY3Rpb24gKG9iamVjdCkgCnRlcnJhOjp3cmFwKG9iamVjdCk&unmarshal=ZnVuY3Rpb24gKG9iamVjdCkgCnRlcnJhOjp1bndyYXAob2JqZWN0KQ&convert=©=&repository=|local|vector|||178.614|| olm_oc_files|stem|cbb6bf888139d5bc|7941d2cda87c49c2|ef46db3751d8e999|-723769669||t19836.6479936437s|e209d753280b6d62|157|qs|local|vector|||2.996|| olm_pH_crop|stem|52dda7c1e33c4cf7|688aa9c1fb921441|e3f91e85b380c2af|-562540966||t19836.6511272402s|665d66a15efe825b|547849510|format_custom&read=ZnVuY3Rpb24gKHBhdGgpIAp0ZXJyYTo6cmFzdChwYXRoKQ&write=ZnVuY3Rpb24gKG9iamVjdCwgcGF0aCkgCnRlcnJhOjp3cml0ZVJhc3Rlcih4ID0gb2JqZWN0LCBmaWxlbmFtZSA9IHBhdGgsIGZpbGV0eXBlID0gIkdUaWZmIiwgCiAgICBvdmVyd3JpdGUgPSBUUlVFKQ&marshal=ZnVuY3Rpb24gKG9iamVjdCkgCnRlcnJhOjp3cmFwKG9iamVjdCk&unmarshal=ZnVuY3Rpb24gKG9iamVjdCkgCnRlcnJhOjp1bndyYXAob2JqZWN0KQ&convert=©=&repository=|local|vector|||230.365|| @@ -240,10 +250,10 @@ olm_texture_files|stem|441aa32f47d95f65|ca0eb0d78942bed1|ef46db3751d8e999|990935 olm_values|object|01d65fc26ba5b27c||||||||||||||| partition_data|stem||7a0c055c8a17fa7c|3d381271a41ec1da|1876425578||t19808.1080950632s||0|qs|local|vector|||0.056||Cant subset columns that dont exist.31m39m Column rewferenceg doesnt exist. partition_datasets|function|416fa1adab9fb2d9||||||||||||||| -pesticide_censored|stem|23b8a082e4ac9b39|f0bd00ba7a998a7a|665a4adef7bfb5a7|2059283667||t19839.5919404993s|1d5850f9ce996623|1283890|qs|local|vector|||0.06|| -pesticide_daily|stem|e63d6f03347ce5b9|e47502fff1fa1c61|e7e96f89f6ffd7c7|-202473720||t19839.5920368815s|14a6d4d10f4896f3|1337810|qs|local|vector|||8.287|| -pesticide_yearly|stem|0be6fc009e396cf4|c00db51baa3e0be9|1e1eefab714638a0|956024022||t19839.5920753189s|66130ccd9f8bfacc|1312371|qs|local|vector|||3.267|| -pesticide_yearly_filtered|stem|fbc9d1045e5dced8|820d7269cc6b13b6|2a3bcaa955fc4154|-258693583||t19839.5920770984s|ba6718163f5c14ad|1326078|qs|local|vector|||0.112|| +pesticide_censored|stem|45af5b688a4fe3c4|f0bd00ba7a998a7a|6fec074c1a272504|2059283667||t19845.8812392506s|5e9239f6af577d53|1283779|qs|local|vector|||0.162|| +pesticide_daily|stem|acaff0239f2ab85c|e47502fff1fa1c61|89b16f17b71f8f13|-202473720||t19845.8814771809s|fff084ea82544ec2|1337811|qs|local|vector|||20.478|| +pesticide_yearly|stem|4b85a197a4b3f67f|c00db51baa3e0be9|feed2f0897376766|956024022||t19845.8815519736s|eb5ff9cf3221db8f|1312375|qs|local|vector|||6.368|| +pesticide_yearly_filtered|stem|19ea2978bac981e3|820d7269cc6b13b6|4eae16f8f5afe46c|-258693583||t19845.8815556932s|b6501400c7c7f5dc|1326080|qs|local|vector|||0.24|| pivot_covariates|function|cb340a2e8df606a6||||||||||||||| plot_by_kfold|pattern|a30073943496f479|86a50e5d0be82ec1||-304556969||||3909188|qs|local|list||plot_by_kfold_1399cb75*plot_by_kfold_ff85d877*plot_by_kfold_1ebb2130*plot_by_kfold_4fc0f128*plot_by_kfold_3700628a*plot_by_kfold_33f4b968*plot_by_kfold_01e8eaf6*plot_by_kfold_937ac923*plot_by_kfold_531e893d*plot_by_kfold_1b9b4600|0.038|| plot_by_kfold_01e8eaf6|branch|e80bc1cb6dfabc24|86a50e5d0be82ec1|cbf564a34a9bbb4e|-2100683564||t19810.6692615843s|06cf0f6815b06fdb|285217|qs|local|list|plot_by_kfold||0.003|| @@ -379,75 +389,120 @@ sf_covariates_pivot|stem|3fdeffa41263978d|f8393f57856d9d0d|27dfc9d6d369190f|2081 sf_explore_cov_maps|stem|c1b327b4d2e7940d|f2febdc63f773962|ef9bf7a5399b7981|1230089317||t19810.6691657555s|c05d96450ab04dba|1293063|qs|local|group||sf_explore_cov_maps_4bca4dbb*sf_explore_cov_maps_9a0ec978*sf_explore_cov_maps_6938bf22*sf_explore_cov_maps_b924afcd*sf_explore_cov_maps_3eea8019*sf_explore_cov_maps_3b433a1f*sf_explore_cov_maps_0990be6e*sf_explore_cov_maps_dd5dad3e*sf_explore_cov_maps_8a5b3ba7*sf_explore_cov_maps_18810db2*sf_explore_cov_maps_fce897cd*sf_explore_cov_maps_504b41a4*sf_explore_cov_maps_922fc483*sf_explore_cov_maps_4bf4209f*sf_explore_cov_maps_9a2da990|0.034|| sf_explore_outcome_maps|stem|cca1ade374ca9cfe|49a633014dfb8e35|3b0a6394321c1562|701109624||t19809.8678887653s|8f3bd4c7c13ff63d|502957|qs|local|group||sf_explore_outcome_maps_37ece6c5*sf_explore_outcome_maps_cefc303e*sf_explore_outcome_maps_d535bb4c*sf_explore_outcome_maps_947a572f*sf_explore_outcome_maps_e639568d*sf_explore_outcome_maps_4d8972e1|0.012|| sf_lasso_mvn|stem|0c42219cbe17b51d|ec6473002bc92b62|93838922beec9c58|1652653611||t19810.7198813779s||83865917|qs|local|group||sf_lasso_mvn_21eb2e34*sf_lasso_mvn_1f5130bf*sf_lasso_mvn_ea2f04f0*sf_lasso_mvn_f7b601ff*sf_lasso_mvn_b3b770b7*sf_lasso_mvn_32f30d04*sf_lasso_mvn_6437d09d*sf_lasso_mvn_97df0c82*sf_lasso_mvn_6ac9bd5f*sf_lasso_mvn_21eb677b|0.014||tar_group_by columns must be in data. -sf_pesticide_buffer|stem|616492f6843c69a5|6daef5e581c71830|d1c54f6e6a014395|-580903725||t19841.1385804378s|c056d797e1b2059f|23500123|qs|local|vector|||1.284|| +sf_pesticide|stem|9ef5f111bb1310d6|bced3c231b6cc935|198d294ff126119a|-908799495||t19845.8815576996s|b066a69cc253b47a|1063211|qs|local|vector|||0.068|| +sf_pesticide_buffer|stem|616492f6843c69a5|6daef5e581c71830|dc7ba7ec5640c12e|-580903725||t19841.1385804378s||23500123|qs|local|vector|||8.241|no nonmissing arguments to max returning Inf|could not find packages spatialsample, yardstick, nhdplusTools, beepr in library paths 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sf_pesticide_for_fit|stem|efe40f79adeffe37|073ae76c111f91cc|b8e4efbf94565066|-1495200753||t19828.1272173687s|ebf21ef82fa6f3c4|2228585|qs|local|vector|||0.066|| +sf_pesticide_huc|stem|a6b9bd42a7c6289b|990044a8e595f3c8|b645b5d7bf6372cd|-2125320176||t19845.8825625682s|e47c896f2acba2c6|2470766|qs|local|vector|||86.64|| sf_pesticide_partition|stem|17a32da1f91f7865|7a0c055c8a17fa7c|271b8287fb47e8e9|-713680612||t19828.1233588359s||2.2250738585072e-308|qs|local|vector|||0.048||Cant select columns that dont exist.31m39m Column ChmclNm doesnt exist. sf_pesticide_partition_cleaned|stem|637a234a98d26bb1|d87c1f0055f0c409|453f226c45198af5|1820727072||t19828.8177733363s||86641961|qs|local|vector|||0.162||object sf_pesticide_partition not found 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spatial_splits|stem|c294abd20d9305db|4f73b0a72aa40ca1|c630db5a19f0acab|-2000834859||t19828.6741747295s|5579a80a3dde5ee5|843518614|qs|local|group||spatial_splits_8983e186*spatial_splits_d9673ba5*spatial_splits_760723db*spatial_splits_6617eeec*spatial_splits_fd9b77fe*spatial_splits_ecd635cf*spatial_splits_3831847f*spatial_splits_b7390ddc*spatial_splits_9a680775*spatial_splits_3f9b25fd|5.035|| -state_fun_AZO|function|60290434588cd038||||||||||||||| 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+state_pesticide_01c3c1456c66d2de|branch|e1a64527db2e3567|a2b79f596c718a92|957102d0068b9891|-694191487||t19845.8626766861s|cc5357e9e2e2e2ae|76445|qs|local|vector|state_pesticide||4.373|| state_pesticide_03945d73|branch|cab51d4b3835e8a6|49679374232582c0|14cd87614565fa4d|1267456546||t19836.0977347133s|36ea4727e7e31258|15748|qs|local|vector|state_pesticide||2.63|| +state_pesticide_04b624040e02e7fd|branch|310ef6652ae62548|a2b79f596c718a92|957102d0068b9891|-1601779655||t19845.8635087897s|cb1cec79ad5294c8|152261|qs|local|vector|state_pesticide||7.135|Detected an unexpected manytomany relationship between x and y.ℹ Row 2940 of x matches multiple rows in y.ℹ Row 25 of y matches multiple rows in x.ℹ If a manytomany relationship is expected, set relationship manytomany to silence this warning.| state_pesticide_09d3e928|branch|3a3856bbae06272d|49679374232582c0|14cd87614565fa4d|1788656146||t19836.0981301428s|8a01085e4d879477|4702|qs|local|vector|state_pesticide||1.626|| state_pesticide_0b2ffdbc|branch|d6811ee36af4cf1a|49679374232582c0|14cd87614565fa4d|-1007947837||t19836.0976009896s|0b7d6ec5cd36c969|52074|qs|local|vector|state_pesticide||7.162|| state_pesticide_0eb4d48b|branch|2338c42cc27756f4|49679374232582c0|14cd87614565fa4d|1896271325||t19836.0982149472s|fec03177be1cbb38|57908|qs|local|vector|state_pesticide||7.299|| +state_pesticide_0f4813264b6243d0|branch|3607290f79087719|a2b79f596c718a92|957102d0068b9891|1279496158||t19845.8641366199s|e07bc1e3144a243b|11561|qs|local|vector|state_pesticide||2.312|| state_pesticide_1131df76|branch|9e22eb36edb87aa7|49679374232582c0|14cd87614565fa4d|-744121290||t19836.097463793s|7c707f0d318ca9ce|52993|qs|local|vector|state_pesticide||8.929|| +state_pesticide_16f58d0aa9611486|branch|98781d5f1c37f62d|a2b79f596c718a92|957102d0068b9891|1856469151||t19845.8620853018s|f4d12cd07d01f4e1|19354|qs|local|vector|state_pesticide||3.018|| state_pesticide_18444282|branch|8f8740c6a50581ec|49679374232582c0|14cd87614565fa4d|-772965900||t19836.0980981054s|dada1264633c4da7|37655|qs|local|vector|state_pesticide||3.752|| state_pesticide_18963d7f|branch|1d1e5f362697c091|49679374232582c0|14cd87614565fa4d|-734688568||t19836.0979048814s|c72cb0e7d7a23f5a|152289|qs|local|vector|state_pesticide||11.517|Detected an unexpected manytomany relationship between x and y.ℹ Row 2940 of x matches multiple rows in y.ℹ Row 25 of y matches multiple rows in x.ℹ If a manytomany relationship is expected, set relationship manytomany to silence this warning.| +state_pesticide_19b6c9f933d44cde|branch|a048a25fc0928d37|a2b79f596c718a92|957102d0068b9891|-54498877||t19845.8634258115s|04c2f899ca679dca|29347|qs|local|vector|state_pesticide||3.929|| +state_pesticide_1a5f5ee3387a76d1|branch|ccf7fe9670d00fb9|a2b79f596c718a92|957102d0068b9891|-713083863||t19845.8648807191s|ff48a5046176d18a|86759|qs|local|vector|state_pesticide||4.323|| +state_pesticide_1f35261fd332c8cf|branch|af9c2202dd23bd59|a2b79f596c718a92|957102d0068b9891|596562896||t19845.8644003818s|ecf845d020d0e327|4784|qs|local|vector|state_pesticide||1.558|| +state_pesticide_208c05f80b897b3e|branch|1dd38ca5ec09e0c2|a2b79f596c718a92|957102d0068b9891|914428424||t19845.8629063768s|341c14f389ba6512|73653|qs|local|vector|state_pesticide||5.704|| state_pesticide_24e28b0e|branch|9c28aa02ed4b925a|49679374232582c0|14cd87614565fa4d|-1812110026||t19836.097914592s|e2b9758c0fccfde0|14414|qs|local|vector|state_pesticide||2.23|| state_pesticide_2837f42d|branch|b9df4b587ca36b00|49679374232582c0|14cd87614565fa4d|-320952067||t19836.0980349504s|08c17772b7c48e31|39344|qs|local|vector|state_pesticide||4.298|| +state_pesticide_298885e9e9a0c849|branch|e1ef027909fd7a37|a2b79f596c718a92|957102d0068b9891|412314221||t19845.8644337192s|2d3b664c1c72abbf|37900|qs|local|vector|state_pesticide||2.863|| state_pesticide_29966f1d|branch|bed649ec618a2cfb|49679374232582c0|14cd87614565fa4d|1167094295||t19836.0974521538s|94bc075caaac2bec|20453|qs|local|vector|state_pesticide||7.928|| +state_pesticide_29a28cef9ff1c2c6|branch|1b4690cc53108248|a2b79f596c718a92|957102d0068b9891|-1721919765||t19845.8635994517s|a294d0c3e9da173d|32873|qs|local|vector|state_pesticide||4.923|| state_pesticide_2a2952d3|branch|7bc7cb90046a7227|49679374232582c0|14cd87614565fa4d|-1041595939||t19836.0980527535s|6facb3ebc2e5d01b|6186|qs|local|vector|state_pesticide||1.541|| +state_pesticide_2a6519f401dc2aa8|branch|1658fd02f3e7c8eb|a2b79f596c718a92|957102d0068b9891|-440275153||t19845.8639164212s|f8c3e91a6c7366d1|42348|qs|local|vector|state_pesticide||6.194|| +state_pesticide_2db4b14da09b390a|branch|b4221e5051958aea|a2b79f596c718a92|957102d0068b9891|1066652380||t19845.8641096741s|2d3b664c1c72abbf|37900|qs|local|vector|state_pesticide||3.665|| state_pesticide_33835831|branch|2828adaabcd965a1|49679374232582c0|14cd87614565fa4d|1324022479||t19836.0977249175s|0ef8b260a8437cce|149093|qs|local|vector|state_pesticide||10.643|| state_pesticide_37d878ec|branch|fe331231e676dbfe|49679374232582c0|14cd87614565fa4d|893036782||t19836.097621642s|7b29f8941b10432b|73655|qs|local|vector|state_pesticide||5.672|| state_pesticide_3cb35e14|branch|bcef51cb954be389|49679374232582c0|14cd87614565fa4d|1589157540||t19836.0980300116s|42551f8b5b40a126|18641|qs|local|vector|state_pesticide||2.377|| +state_pesticide_3eae0b2c891b9c32|branch|deb7109df55f80a4|a2b79f596c718a92|957102d0068b9891|-1813501847||t19845.8632967975s|0ff127c5af6a91b4|15748|qs|local|vector|state_pesticide||1.755|| state_pesticide_4017b75a|branch|f381b895059cc5fe|49679374232582c0|14cd87614565fa4d|344182858||t19836.0980779326s|0b102b23e1baa41b|4784|qs|local|vector|state_pesticide||1.877|| +state_pesticide_421c1a4be6f76076|branch|5c34172b4873486e|a2b79f596c718a92|957102d0068b9891|1719631031||t19845.8620501822s|856e480988c744f2|52994|qs|local|vector|state_pesticide||5.682|| state_pesticide_4500bf15|branch|b5bf1966ea7a0345|49679374232582c0|14cd87614565fa4d|-1152300280||t19836.0974929521s|f832ab153283eb2e|28095|qs|local|vector|state_pesticide||3.509|| +state_pesticide_463bc9c80610e3dc|branch|bbcbf58bae029670|a2b79f596c718a92|957102d0068b9891|2027381780||t19845.8625091221s|efbd575c9d6002c0|769079|qs|local|vector|state_pesticide||33.269|| state_pesticide_468fc9a0|branch|faaf9dc3710b3fd5|49679374232582c0|14cd87614565fa4d|551422361||t19836.0982165447s|60e45afa6c75cb75|179255|qs|local|vector|state_pesticide||11.9|Detected an unexpected manytomany relationship between x and y.ℹ Row 3206 of x matches multiple rows in y.ℹ Row 527 of y matches multiple rows in x.ℹ If a manytomany relationship is expected, set relationship manytomany to silence this warning.| state_pesticide_47b1f0d8|branch|f7fc2c4a1a380bbc|49679374232582c0|14cd87614565fa4d|53329600||t19836.0979568134s|d6c82007d6a1809e|42348|qs|local|vector|state_pesticide||3.633|| +state_pesticide_48bd5adc2e3dfef0|branch|678c96305984e743|a2b79f596c718a92|957102d0068b9891|1153433389||t19845.8631737918s|4f62f054fcf7acbe|203899|qs|local|vector|state_pesticide||8.504|| state_pesticide_49aa2d88|branch|1dd03ae1ad2ff977|49679374232582c0|14cd87614565fa4d|-968698370||t19836.0981160446s|6b471c705f9271fc|37901|qs|local|vector|state_pesticide||4.097|| -state_pesticide_4c6ab39224a9a55d|branch|6d70e52295a259a5|a2b79f596c718a92|c7e99dd252386198|-1357895298||t19839.5897177465s|c50eeb232bd77c4f|6186|qs|local|vector|state_pesticide||1.27|| -state_pesticide_4c7ab197a951b245|branch|5fd0b3e080554677|a2b79f596c718a92|c7e99dd252386198|649609450||t19839.5882337457s|78cc3915d23b4372|59164|qs|local|vector|state_pesticide||4.61|| -state_pesticide_4f72d607e99a9ea3|branch|3b56b8ffa0e62a6f|a2b79f596c718a92|c7e99dd252386198|2127989315||t19839.5911341012s|28e76c0917097715|38|qs|local|vector|state_pesticide||0.936|| -state_pesticide_5153fc5e4332be6f|branch|ac1d0fba94b36869|a2b79f596c718a92|c7e99dd252386198|-609799273||t19839.5897029709s|f0a1fa94ba51ae2e|88952|qs|local|vector|state_pesticide||5.336|| -state_pesticide_5196c09ef89df89a|branch|b062d5d3c94104d0|a2b79f596c718a92|c7e99dd252386198|-547143652||t19839.5900694955s|075744272cdca071|17860|qs|local|vector|state_pesticide||1.7|| +state_pesticide_4c6ab39224a9a55d|branch|c81c53fe717d287a|a2b79f596c718a92|957102d0068b9891|-1357895298||t19845.8643494446s|077f1c25ff1398d6|6187|qs|local|vector|state_pesticide||1.231|| +state_pesticide_4c7ab197a951b245|branch|7f3656d9bf4ee317|a2b79f596c718a92|957102d0068b9891|649609450||t19845.8625671408s|6563883a6ebbf1f2|59166|qs|local|vector|state_pesticide||4.993|| +state_pesticide_4f72d607e99a9ea3|branch|3b56b8ffa0e62a6f|a2b79f596c718a92|957102d0068b9891|2127989315||t19845.8631851423s|28e76c0917097715|38|qs|local|vector|state_pesticide||0.966|| +state_pesticide_5153fc5e4332be6f|branch|306b6c93ed3c9c3d|a2b79f596c718a92|957102d0068b9891|-609799273||t19845.8643349982s|f0a1fa94ba51ae2e|88952|qs|local|vector|state_pesticide||6.083|| +state_pesticide_5196c09ef89df89a|branch|d6f2b5c51dab3160|a2b79f596c718a92|957102d0068b9891|-547143652||t19845.8647859304s|075744272cdca071|17860|qs|local|vector|state_pesticide||1.971|| state_pesticide_5464a00a|branch|d0ffe736a17d1a1e|49679374232582c0|14cd87614565fa4d|-515681427||t19836.0979850344s|114843724939d25a|11561|qs|local|vector|state_pesticide||2.431|| state_pesticide_567fb042|branch|9e0df33cc96a06b1|49679374232582c0|14cd87614565fa4d|973186787||t19836.097555751s|e1cfde88d3ba8914|76446|qs|local|vector|state_pesticide||5.4|| 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function( dplyr::select(dplyr::all_of(field_name)) huc$huc_split <- substr(unlist(huc[[field_name]]), 1, 4) - future::plan(future::multisession, workers = n_cores) # approach 1: Map par_hierarchy # extracted <- @@ -536,7 +534,7 @@ calc_nass <- function( func = "frac", max_cells = 3e+07 ) - future::plan(future::sequential) + return(extracted) } @@ -565,8 +563,7 @@ calc_nass <- function( calc_twi <- function( twi_file = "input/TWI/CONUS_TWI_epsg5072_30m_unmasked.tif", wbd_path = "input/WBD-National/WBD_National_GDB.gdb", - huc_level = 12, - n_cores = 1 + huc_level = 12 ) { huc_level <- match.arg(as.character(huc_level), c("8", "10", "12")) # read in the WBD data @@ -586,7 +583,6 @@ calc_twi <- function( dplyr::select(dplyr::all_of(field_name)) huc$huc_split <- substr(unlist(huc[[field_name]]), 1, 4) - future::plan(future::multisession, workers = n_cores) # approach 1: Map par_hierarchy extracted <- @@ -600,7 +596,7 @@ calc_twi <- function( func = "mean", max_cells = 3e+07 ) - future::plan(future::sequential) + return(extracted) }