From c575425e8ab3fd229f2b6a94aa79cad0254bdfc2 Mon Sep 17 00:00:00 2001 From: mitchellmanware Date: Thu, 18 Jan 2024 07:39:35 -0500 Subject: [PATCH] generate date sequence function --- R/download.R | 1260 ++++++++++------- R/download_support.R | 53 +- .../NASA_EarthData_applications.png | Bin 0 -> 2489931 bytes .../vignette_images/NASA_EarthData_login.png | Bin 0 -> 1824772 bytes vignettes/download_functions.qmd | 1082 ++++++++++++++ 5 files changed, 1858 insertions(+), 537 deletions(-) create mode 100644 inst/extdata/vignette_images/NASA_EarthData_applications.png create mode 100644 inst/extdata/vignette_images/NASA_EarthData_login.png create mode 100644 vignettes/download_functions.qmd diff --git a/R/download.R b/R/download.R index de492d61..5319031e 100644 --- a/R/download.R +++ b/R/download.R @@ -28,16 +28,16 @@ #' @export download_data <- function( - dataset_name = c("aqs", "ecoregion", "geos", "gmted", "koppen", - "koppengeiger", "merra2", "merra", "narr_monolevel", - "modis", "narr_p_levels", "nlcd", "noaa", "sedac_groads", - "sedac_population", "groads", "population", "plevels", - "p_levels", "monolevel", "hms", "smoke"), - directory_to_save = NULL, - data_download_acknowledgement = FALSE, - ... - ) { - + dataset_name = c( + "aqs", "ecoregion", "geos", "gmted", "koppen", + "koppengeiger", "merra2", "merra", "narr_monolevel", + "modis", "narr_p_levels", "nlcd", "noaa", "sedac_groads", + "sedac_population", "groads", "population", "plevels", + "p_levels", "monolevel", "hms", "smoke" + ), + directory_to_save = NULL, + data_download_acknowledgement = FALSE, + ...) { dataset_name <- tolower(dataset_name) dataset_name <- match.arg(dataset_name) @@ -67,19 +67,24 @@ download_data <- modis = download_modis_data ) - tryCatch({ - what_to_run( - directory_to_save = directory_to_save, - data_download_acknowledgement = data_download_acknowledgement, - ... - ) - }, error = function(e) { - print(e) - print(args(what_to_run)) - message(paste0("Please refer to the argument list and the error message ", - "above to rectify the error.\n")) - return(NULL) - }) + tryCatch( + { + what_to_run( + directory_to_save = directory_to_save, + data_download_acknowledgement = data_download_acknowledgement, + ... + ) + }, + error = function(e) { + print(e) + print(args(what_to_run)) + message(paste0( + "Please refer to the argument list and the error message ", + "above to rectify the error.\n" + )) + return(NULL) + } + ) } @@ -118,23 +123,23 @@ download_data <- #' will be stored in directory_to_save. #' @export download_aqs_data <- - function( - parameter_code = 88101, - year_start = 2018, - year_end = 2022, - resolution_temporal = "daily", - directory_to_download = "./input/aqs/", - directory_to_save = "./input/aqs/", - url_aqs_download = "https://aqs.epa.gov/aqsweb/airdata/", - data_download_acknowledgement = FALSE, - unzip = TRUE, - remove_zip = FALSE, - download = FALSE, - remove_command = FALSE) { + function(parameter_code = 88101, + year_start = 2018, + year_end = 2022, + resolution_temporal = "daily", + directory_to_download = "./input/aqs/", + directory_to_save = "./input/aqs/", + url_aqs_download = "https://aqs.epa.gov/aqsweb/airdata/", + data_download_acknowledgement = FALSE, + unzip = TRUE, + remove_zip = FALSE, + download = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit( - data_download_acknowledgement = - data_download_acknowledgement) + data_download_acknowledgement = + data_download_acknowledgement + ) #### 2. check for null parameteres check_for_null_parameters(mget(ls())) #### 3. directory setup @@ -155,6 +160,13 @@ download_aqs_data <- ), year_sequence ) + #### 6. check for valid URL + if (!(check_url_status(download_urls[1]))) { + stop(paste0( + "Invalid year returns HTTP code 404. ", + "Check `year_start` parameter.\n" + )) + } #### 5. build download file name download_names <- sprintf( paste(directory_to_download, @@ -168,11 +180,13 @@ download_aqs_data <- year_sequence ) #### 6. build download command - download_commands <- paste0("curl ", - download_urls, - " --output ", - download_names, - "\n") + download_commands <- paste0( + "curl ", + download_urls, + " --output ", + download_names, + "\n" + ) #### 7. initiate "..._curl_commands.txt" commands_txt <- paste0( directory_to_download, @@ -197,8 +211,10 @@ download_aqs_data <- ) #### 11. download data if (!any(file.exists(download_names))) { - download_run(download = download, - system_command = system_command) + download_run( + download = download, + system_command = system_command + ) } #### 12. unzip data for (n in seq_along(download_names)) { @@ -260,17 +276,17 @@ download_aqs_data <- #' @importFrom utils download.file #' @export download_ecoregion_data <- function( - directory_to_download = "./input/ecoregions/", - directory_to_save = "./input/ecoregions/", - data_download_acknowledgement = FALSE, - unzip = TRUE, - remove_zip = FALSE, - download = FALSE, - remove_command = TRUE, - epa_certificate_path = - system.file("inst/extdata/cacert_gaftp_epa.pem", - package = "NRTAPmodel") -) { + directory_to_download = "./input/ecoregions/", + directory_to_save = "./input/ecoregions/", + data_download_acknowledgement = FALSE, + unzip = TRUE, + remove_zip = FALSE, + download = FALSE, + remove_command = TRUE, + epa_certificate_path = + system.file("inst/extdata/cacert_gaftp_epa.pem", + package = "NRTAPmodel" + )) { #### 1. data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. check for null parameters @@ -283,8 +299,10 @@ download_ecoregion_data <- function( #### 4. Check the presence of file ## This part is hard-coded as the original file appears to ## be a misnomer. May need to be modified accordingly in the future. - path_downloaded_file <- sprintf("%sus_eco_l3_state_boundaries.shp", - directory_to_save) + path_downloaded_file <- sprintf( + "%sus_eco_l3_state_boundaries.shp", + directory_to_save + ) if (file.exists(path_downloaded_file)) { message("Requested files exist in the target directory.\n") return(NULL) @@ -301,13 +319,15 @@ download_ecoregion_data <- function( certificate_url <- "http://cacerts.digicert.com/DigiCertGlobalG2TLSRSASHA2562020CA1-1.crt" utils::download.file(certificate_url, download_crt_target) - system(paste("openssl x509", - "-inform DER", - "-outform PEM", - "-in", - download_crt_target, - "-out", - epa_certificate_path)) + system(paste( + "openssl x509", + "-inform DER", + "-outform PEM", + "-in", + download_crt_target, + "-out", + epa_certificate_path + )) } } @@ -316,17 +336,21 @@ download_ecoregion_data <- function( "us_eco_l3_state_boundaries.zip" ) #### 6. build download file name - download_name <- sprintf("%sus_eco_l3_state_boundaries.zip", - directory_to_download) + download_name <- sprintf( + "%sus_eco_l3_state_boundaries.zip", + directory_to_download + ) #### 7. build download command download_command <- - paste0("wget --ca-certificate=", - epa_certificate_path, - " ", - download_url, - " -O ", - download_name, - "\n") + paste0( + "wget --ca-certificate=", + epa_certificate_path, + " ", + download_url, + " -O ", + download_name, + "\n" + ) #### 8. initiate "..._curl_commands.txt" file commands_txt <- paste0( directory_to_download, @@ -341,20 +365,27 @@ download_ecoregion_data <- function( #### 11. finish "...curl_commands.txt" file sink() #### 12. build system command - system_command <- paste0(". ", - commands_txt, - "\n") + system_command <- paste0( + ". ", + commands_txt, + "\n" + ) #### 13. download data - download_run(download = download, - system_command = system_command) + download_run( + download = download, + system_command = system_command + ) #### 14. remove download command - download_remove_command(commands_txt = commands_txt, - remove = remove_command) + download_remove_command( + commands_txt = commands_txt, + remove = remove_command + ) #### 15. unzip files download_unzip( - file_name = download_name, - directory_to_unzip = directory_to_save, - unzip = unzip) + file_name = download_name, + directory_to_unzip = directory_to_save, + unzip = unzip + ) #### 16. remove zip files download_remove_zips( remove = remove_zip, @@ -386,19 +417,18 @@ download_ecoregion_data <- function( #' @return NULL; #' @export download_geos_cf_data <- function( - date_start = "2023-09-01", - date_end = "2023-09-01", - collection = - c( - "aqc_tavg_1hr_g1440x721_v1", "chm_tavg_1hr_g1440x721_v1", - "met_tavg_1hr_g1440x721_x1", "xgc_tavg_1hr_g1440x721_x1", - "chm_inst_1hr_g1440x721_p23", "met_inst_1hr_g1440x721_p23" - ), - directory_to_save = "./input/data/geos_cf/", - data_download_acknowledgement = FALSE, - download = FALSE, - remove_command = FALSE -) { + date_start = "2023-09-01", + date_end = "2023-09-01", + collection = + c( + "aqc_tavg_1hr_g1440x721_v1", "chm_tavg_1hr_g1440x721_v1", + "met_tavg_1hr_g1440x721_x1", "xgc_tavg_1hr_g1440x721_x1", + "chm_inst_1hr_g1440x721_p23", "met_inst_1hr_g1440x721_p23" + ), + directory_to_save = "./input/data/geos_cf/", + data_download_acknowledgement = FALSE, + download = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. check for null parameters @@ -417,10 +447,11 @@ download_geos_cf_data <- function( stop(paste0("Requested collection is not recognized.\n")) } #### 5. define date sequence - date_start_date_format <- as.Date(date_start, format = "%Y-%m-%d") - date_end_date_format <- as.Date(date_end, format = "%Y-%m-%d") - date_sequence <- seq(date_start_date_format, date_end_date_format, "day") - date_sequence <- gsub("-", "", as.character(date_sequence)) + date_sequence <- generate_date_sequence( + date_start, + date_end, + sub_hyphen = TRUE + ) #### 6. define time sequence collection_end <- substr(collection, nchar(collection), nchar(collection)) if (collection_end == "1") { @@ -466,6 +497,16 @@ download_geos_cf_data <- function( time_sequence[t], "z.nc4" ) + if (t == 1) { + if (!(check_url_status(download_url))) { + sink() + file.remove(commands_txt) + stop(paste0( + "Invalid date returns HTTP code 404. ", + "Check `date_start` parameter.\n" + )) + } + } download_folder <- paste0( directory_to_save, collection @@ -491,8 +532,7 @@ download_geos_cf_data <- function( #### 11. download data download_run( download = download, - system_command = system_command, - commands_txt = commands_txt + system_command = system_command ) download_remove_command( commands_txt = commands_txt, @@ -531,19 +571,20 @@ download_geos_cf_data <- function( #' @return NULL; #' @export download_gmted_data <- function( - statistic = c("Breakline Emphasis", "Systematic Subsample", - "Median Statistic", "Minimum Statistic", - "Mean Statistic", "Maximum Statistic", - "Standard Deviation Statistic"), - resolution = c("7.5 arc-seconds", "15 arc-seconds", "30 arc-seconds"), - directory_to_download = "./input/gmted/", - directory_to_save = "./input/gmted/", - data_download_acknowledgement = FALSE, - unzip = TRUE, - remove_zip = FALSE, - download = FALSE, - remove_command = FALSE -) { + statistic = c( + "Breakline Emphasis", "Systematic Subsample", + "Median Statistic", "Minimum Statistic", + "Mean Statistic", "Maximum Statistic", + "Standard Deviation Statistic" + ), + resolution = c("7.5 arc-seconds", "15 arc-seconds", "30 arc-seconds"), + directory_to_download = "./input/gmted/", + directory_to_save = "./input/gmted/", + data_download_acknowledgement = FALSE, + unzip = TRUE, + remove_zip = FALSE, + download = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. check for null parameters @@ -625,8 +666,7 @@ download_gmted_data <- function( #### 16. download data download_run( download = download, - system_command = system_command, - commands_txt = commands_txt + system_command = system_command ) #### 17. end if unzip == FALSE download_unzip( @@ -672,26 +712,27 @@ download_gmted_data <- function( #' @return NULL; #' @export download_merra2_data <- function( - date_start = "2023-09-01", - date_end = "2023-09-01", - collection = c("inst1_2d_asm_Nx", "inst1_2d_int_Nx", "inst1_2d_lfo_Nx", - "inst3_3d_asm_Np", "inst3_3d_aer_Nv", "inst3_3d_asm_Nv", - "inst3_3d_chm_Nv", "inst3_3d_gas_Nv", "inst3_2d_gas_Nx", - "inst6_3d_ana_Np", "inst6_3d_ana_Nv", "statD_2d_slv_Nx", - "tavg1_2d_adg_Nx", "tavg1_2d_aer_Nx", "tavg1_2d_chm_Nx", - "tavg1_2d_csp_Nx", "tavg1_2d_flx_Nx", "tavg1_2d_int_Nx", - "tavg1_2d_lfo_Nx", "tavg1_2d_lnd_Nx", "tavg1_2d_ocn_Nx", - "tavg1_2d_rad_Nx", "tavg1_2d_slv_Nx", "tavg3_3d_mst_Ne", - "tavg3_3d_trb_Ne", "tavg3_3d_nav_Ne", "tavg3_3d_cld_Np", - "tavg3_3d_mst_Np", "tavg3_3d_rad_Np", "tavg3_3d_tdt_Np", - "tavg3_3d_trb_Np", "tavg3_3d_udt_Np", "tavg3_3d_odt_Np", - "tavg3_3d_qdt_Np", "tavg3_3d_asm_Nv", "tavg3_3d_cld_Nv", - "tavg3_3d_mst_Nv", "tavg3_3d_rad_Nv", "tavg3_2d_glc_Nx"), - directory_to_save = "./input/merra2/", - data_download_acknowledgement = FALSE, - download = FALSE, - remove_command = FALSE -) { + date_start = "2023-09-01", + date_end = "2023-09-01", + collection = c( + "inst1_2d_asm_Nx", "inst1_2d_int_Nx", "inst1_2d_lfo_Nx", + "inst3_3d_asm_Np", "inst3_3d_aer_Nv", "inst3_3d_asm_Nv", + "inst3_3d_chm_Nv", "inst3_3d_gas_Nv", "inst3_2d_gas_Nx", + "inst6_3d_ana_Np", "inst6_3d_ana_Nv", "statD_2d_slv_Nx", + "tavg1_2d_adg_Nx", "tavg1_2d_aer_Nx", "tavg1_2d_chm_Nx", + "tavg1_2d_csp_Nx", "tavg1_2d_flx_Nx", "tavg1_2d_int_Nx", + "tavg1_2d_lfo_Nx", "tavg1_2d_lnd_Nx", "tavg1_2d_ocn_Nx", + "tavg1_2d_rad_Nx", "tavg1_2d_slv_Nx", "tavg3_3d_mst_Ne", + "tavg3_3d_trb_Ne", "tavg3_3d_nav_Ne", "tavg3_3d_cld_Np", + "tavg3_3d_mst_Np", "tavg3_3d_rad_Np", "tavg3_3d_tdt_Np", + "tavg3_3d_trb_Np", "tavg3_3d_udt_Np", "tavg3_3d_odt_Np", + "tavg3_3d_qdt_Np", "tavg3_3d_asm_Nv", "tavg3_3d_cld_Nv", + "tavg3_3d_mst_Nv", "tavg3_3d_rad_Nv", "tavg3_2d_glc_Nx" + ), + directory_to_save = "./input/merra2/", + data_download_acknowledgement = FALSE, + download = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. directory setup @@ -700,45 +741,47 @@ download_merra2_data <- function( #### 3. check for null parameters check_for_null_parameters(mget(ls())) #### 4. check if collection is recognized - identifiers <- c("inst1_2d_asm_Nx M2I1NXASM 10.5067/3Z173KIE2TPD", - "inst1_2d_int_Nx M2I1NXINT 10.5067/G0U6NGQ3BLE0", - "inst1_2d_lfo_Nx M2I1NXLFO 10.5067/RCMZA6TL70BG", - "inst3_3d_asm_Np M2I3NPASM 10.5067/QBZ6MG944HW0", - "inst3_3d_aer_Nv M2I3NVAER 10.5067/LTVB4GPCOTK2", - "inst3_3d_asm_Nv M2I3NVASM 10.5067/WWQSXQ8IVFW8", - "inst3_3d_chm_Nv M2I3NVCHM 10.5067/HO9OVZWF3KW2", - "inst3_3d_gas_Nv M2I3NVGAS 10.5067/96BUID8HGGX5", - "inst3_2d_gas_Nx M2I3NXGAS 10.5067/HNGA0EWW0R09", - "inst6_3d_ana_Np M2I6NPANA 10.5067/A7S6XP56VZWS", - "inst6_3d_ana_Nv M2I6NVANA 10.5067/IUUF4WB9FT4W", - "statD_2d_slv_Nx M2SDNXSLV 10.5067/9SC1VNTWGWV3", - "tavg1_2d_adg_Nx M2T1NXADG 10.5067/HM00OHQBHKTP", - "tavg1_2d_aer_Nx M2T1NXAER 10.5067/KLICLTZ8EM9D", - "tavg1_2d_chm_Nx M2T1NXCHM 10.5067/3RQ5YS674DGQ", - "tavg1_2d_csp_Nx M2T1NXCSP 10.5067/H0VVAD8F6MX5", - "tavg1_2d_flx_Nx M2T1NXFLX 10.5067/7MCPBJ41Y0K6", - "tavg1_2d_int_Nx M2T1NXINT 10.5067/Q5GVUVUIVGO7", - "tavg1_2d_lfo_Nx M2T1NXLFO 10.5067/L0T5GEG1NYFA", - "tavg1_2d_lnd_Nx M2T1NXLND 10.5067/RKPHT8KC1Y1T", - "tavg1_2d_ocn_Nx M2T1NXOCN 10.5067/Y67YQ1L3ZZ4R", - "tavg1_2d_rad_Nx M2T1NXRAD 10.5067/Q9QMY5PBNV1T", - "tavg1_2d_slv_Nx M2T1NXSLV 10.5067/VJAFPLI1CSIV", - "tavg3_3d_mst_Ne M2T3NEMST 10.5067/JRUZ3SJ3ZJ72", - "tavg3_3d_trb_Ne M2T3NETRB 10.5067/4I7ZI35QRH8K", - "tavg3_3d_nav_Ne M2T3NENAV 10.5067/N5WAKNS1UYQN", - "tavg3_3d_cld_Np M2T3NPCLD 10.5067/TX10URJSKT53", - "tavg3_3d_mst_Np M2T3NPMST 10.5067/0TUFO90Q2PMS", - "tavg3_3d_rad_Np M2T3NPRAD 10.5067/3UGE8WQXZAOK", - "tavg3_3d_tdt_Np M2T3NPTDT 10.5067/9NCR9DDDOPFI", - "tavg3_3d_trb_Np M2T3NPTRB 10.5067/ZRRJPGWL8AVL", - "tavg3_3d_udt_Np M2T3NPUDT 10.5067/CWV0G3PPPWFW", - "tavg3_3d_odt_Np M2T3NPODT 10.5067/S0LYTK57786Z", - "tavg3_3d_qdt_Np M2T3NPQDT 10.5067/A9KWADY78YHQ", - "tavg3_3d_asm_Nv M2T3NVASM 10.5067/SUOQESM06LPK", - "tavg3_3d_cld_Nv M2T3NVCLD 10.5067/F9353J0FAHIH", - "tavg3_3d_mst_Nv M2T3NVMST 10.5067/ZXTJ28TQR1TR", - "tavg3_3d_rad_Nv M2T3NVRAD 10.5067/7GFQKO1T43RW", - "tavg3_2d_glc_Nx M2T3NXGLC 10.5067/9ETB4TT5J6US") + identifiers <- c( + "inst1_2d_asm_Nx M2I1NXASM 10.5067/3Z173KIE2TPD", + "inst1_2d_int_Nx M2I1NXINT 10.5067/G0U6NGQ3BLE0", + "inst1_2d_lfo_Nx M2I1NXLFO 10.5067/RCMZA6TL70BG", + "inst3_3d_asm_Np M2I3NPASM 10.5067/QBZ6MG944HW0", + "inst3_3d_aer_Nv M2I3NVAER 10.5067/LTVB4GPCOTK2", + "inst3_3d_asm_Nv M2I3NVASM 10.5067/WWQSXQ8IVFW8", + "inst3_3d_chm_Nv M2I3NVCHM 10.5067/HO9OVZWF3KW2", + "inst3_3d_gas_Nv M2I3NVGAS 10.5067/96BUID8HGGX5", + "inst3_2d_gas_Nx M2I3NXGAS 10.5067/HNGA0EWW0R09", + "inst6_3d_ana_Np M2I6NPANA 10.5067/A7S6XP56VZWS", + "inst6_3d_ana_Nv M2I6NVANA 10.5067/IUUF4WB9FT4W", + "statD_2d_slv_Nx M2SDNXSLV 10.5067/9SC1VNTWGWV3", + "tavg1_2d_adg_Nx M2T1NXADG 10.5067/HM00OHQBHKTP", + "tavg1_2d_aer_Nx M2T1NXAER 10.5067/KLICLTZ8EM9D", + "tavg1_2d_chm_Nx M2T1NXCHM 10.5067/3RQ5YS674DGQ", + "tavg1_2d_csp_Nx M2T1NXCSP 10.5067/H0VVAD8F6MX5", + "tavg1_2d_flx_Nx M2T1NXFLX 10.5067/7MCPBJ41Y0K6", + "tavg1_2d_int_Nx M2T1NXINT 10.5067/Q5GVUVUIVGO7", + "tavg1_2d_lfo_Nx M2T1NXLFO 10.5067/L0T5GEG1NYFA", + "tavg1_2d_lnd_Nx M2T1NXLND 10.5067/RKPHT8KC1Y1T", + "tavg1_2d_ocn_Nx M2T1NXOCN 10.5067/Y67YQ1L3ZZ4R", + "tavg1_2d_rad_Nx M2T1NXRAD 10.5067/Q9QMY5PBNV1T", + "tavg1_2d_slv_Nx M2T1NXSLV 10.5067/VJAFPLI1CSIV", + "tavg3_3d_mst_Ne M2T3NEMST 10.5067/JRUZ3SJ3ZJ72", + "tavg3_3d_trb_Ne M2T3NETRB 10.5067/4I7ZI35QRH8K", + "tavg3_3d_nav_Ne M2T3NENAV 10.5067/N5WAKNS1UYQN", + "tavg3_3d_cld_Np M2T3NPCLD 10.5067/TX10URJSKT53", + "tavg3_3d_mst_Np M2T3NPMST 10.5067/0TUFO90Q2PMS", + "tavg3_3d_rad_Np M2T3NPRAD 10.5067/3UGE8WQXZAOK", + "tavg3_3d_tdt_Np M2T3NPTDT 10.5067/9NCR9DDDOPFI", + "tavg3_3d_trb_Np M2T3NPTRB 10.5067/ZRRJPGWL8AVL", + "tavg3_3d_udt_Np M2T3NPUDT 10.5067/CWV0G3PPPWFW", + "tavg3_3d_odt_Np M2T3NPODT 10.5067/S0LYTK57786Z", + "tavg3_3d_qdt_Np M2T3NPQDT 10.5067/A9KWADY78YHQ", + "tavg3_3d_asm_Nv M2T3NVASM 10.5067/SUOQESM06LPK", + "tavg3_3d_cld_Nv M2T3NVCLD 10.5067/F9353J0FAHIH", + "tavg3_3d_mst_Nv M2T3NVMST 10.5067/ZXTJ28TQR1TR", + "tavg3_3d_rad_Nv M2T3NVRAD 10.5067/7GFQKO1T43RW", + "tavg3_2d_glc_Nx M2T3NXGLC 10.5067/9ETB4TT5J6US" + ) identifiers <- lapply(identifiers, strsplit, split = " ") identifiers <- lapply(identifiers, function(x) matrix(x[[1]], nrow = 1)) identifiers <- do.call(rbind, identifiers) @@ -750,40 +793,48 @@ download_merra2_data <- function( Please refer to the table above to find a proper collection.\n")) } #### 5. define date sequence - date_start_date_format <- as.Date(date_start, format = "%Y-%m-%d") - date_end_date_format <- as.Date(date_end, format = "%Y-%m-%d") - date_sequence <- seq(date_start_date_format, date_end_date_format, "day") - date_sequence <- gsub("-", "", as.character(date_sequence)) + date_sequence <- generate_date_sequence( + date_start, + date_end, + sub_hyphen = TRUE + ) #### 6. define year + month sequence yearmonth_sequence <- unique(substr(date_sequence, 1, 6)) #### 7. define ESDT name and DOI identifiers_df_requested <- subset(identifiers_df, - subset = - identifiers_df$collection_id == - collection) + subset = + identifiers_df$collection_id == + collection + ) esdt_name <- identifiers_df_requested[, 2] - cat(paste0("Collection: ", - collection, - " | ESDT Name: ", - esdt_name, - " | DOI: ", - identifiers_df_requested[, 3], - "\n")) + cat(paste0( + "Collection: ", + collection, + " | ESDT Name: ", + esdt_name, + " | DOI: ", + identifiers_df_requested[, 3], + "\n" + )) #### 8. define URL base #### NOTE: sorted and defined manually according to #### https://goldsmr4.gesdisc.eosdis.nasa.gov/data/MERRA2/ & #### https://goldsmr5.gesdisc.eosdis.nasa.gov/data/MERRA2/ - esdt_name_4 <- c("M2I1NXASM", "M2I1NXINT", "M2I1NXLFO", "M2I3NXGAS", - "M2SDNXSLV", "M2T1NXADG", "M2T1NXAER", "M2T1NXCHM", - "M2T1NXCSP", "M2T1NXFLX", "M2T1NXINT", "M2T1NXLFO", - "M2T1NXLND", "M2T1NXOCN", "M2T1NXRAD", "M2T1NXSLV", - "M2T3NXGLC") - esdt_name_5 <- c("M2I3NPASM", "M2I3NVAER", "M2I3NVASM", "M2I3NVCHM", - "M2I3NVGAS", "M2I6NPANA", "M2I6NVANA", "M2T3NEMST", - "M2T3NENAV", "M2T3NETRB", "M2T3NPCLD", "M2T3NPMST", - "M2T3NPODT", "M2T3NPQDT", "M2T3NPRAD", "M2T3NPTDT", - "M2T3NPTRB", "M2T3NPUDT", "M2T3NVASM", "M2T3NVCLD", - "M2T3NVMST", "M2T3NVRAD") + esdt_name_4 <- c( + "M2I1NXASM", "M2I1NXINT", "M2I1NXLFO", "M2I3NXGAS", + "M2SDNXSLV", "M2T1NXADG", "M2T1NXAER", "M2T1NXCHM", + "M2T1NXCSP", "M2T1NXFLX", "M2T1NXINT", "M2T1NXLFO", + "M2T1NXLND", "M2T1NXOCN", "M2T1NXRAD", "M2T1NXSLV", + "M2T3NXGLC" + ) + esdt_name_5 <- c( + "M2I3NPASM", "M2I3NVAER", "M2I3NVASM", "M2I3NVCHM", + "M2I3NVGAS", "M2I6NPANA", "M2I6NVANA", "M2T3NEMST", + "M2T3NENAV", "M2T3NETRB", "M2T3NPCLD", "M2T3NPMST", + "M2T3NPODT", "M2T3NPQDT", "M2T3NPRAD", "M2T3NPTDT", + "M2T3NPTRB", "M2T3NPUDT", "M2T3NVASM", "M2T3NVCLD", + "M2T3NVMST", "M2T3NVRAD" + ) if (esdt_name %in% esdt_name_4) { base <- "https://goldsmr4.gesdisc.eosdis.nasa.gov/data/MERRA2/" } else if (esdt_name %in% esdt_name_5) { @@ -794,18 +845,39 @@ download_merra2_data <- function( for (y in seq_along(yearmonth_sequence)) { year <- substr(yearmonth_sequence[y], 1, 4) month <- substr(yearmonth_sequence[y], 5, 6) - list_urls_month <- system(paste0("wget -q -nH -nd ", - "\"", - base, - esdt_name, - ".5.12.4/", - year, - "/", - month, - "/\"", - " -O - | grep .nc4 | awk -F'\"' ", - "'{print $4}'"), - intern = TRUE) + if (y == 1) { + base_url <- paste0( + base, + esdt_name, + ".5.12.4/", + year, + "/", + month, + "/" + ) + if (!(check_url_status(base_url))) { + stop(paste0( + "Invalid date returns HTTP code 404. ", + "Check `date_start` parameter.\n" + )) + } + } + list_urls_month <- system( + paste0( + "wget -q -nH -nd ", + "\"", + base, + esdt_name, + ".5.12.4/", + year, + "/", + month, + "/\"", + " -O - | grep .nc4 | awk -F'\"' ", + "'{print $4}'" + ), + intern = TRUE + ) list_urls <- c(list_urls, list_urls_month) } #### 10. match list_urls to date sequence @@ -813,72 +885,92 @@ download_merra2_data <- function( date_sequence] #### 11. separate data and metadata list_urls_data <- list_urls_date_sequence[grep("*.xml", - list_urls_date_sequence, - invert = TRUE)] + list_urls_date_sequence, + invert = TRUE + )] list_urls_metadata <- list_urls_date_sequence[grep("*.xml", - list_urls_date_sequence, - invert = FALSE)] + list_urls_date_sequence, + invert = FALSE + )] #### 12. initiate "..._wget_commands.txt" file - commands_txt <- paste0(directory_to_save, - collection, - "_", - date_start, - "_", - date_end, - "_wget_commands.txt") + commands_txt <- paste0( + directory_to_save, + collection, + "_", + date_start, + "_", + date_end, + "_wget_commands.txt" + ) download_sink(commands_txt) #### 13. concatenate and print download commands to "..._wget_commands.txt" for (l in seq_along(date_sequence)) { year <- as.character(substr(date_sequence[l], 1, 4)) month <- as.character(substr(date_sequence[l], 5, 6)) - download_url <- paste0(base, - esdt_name, - ".5.12.4/", - year, - "/", - month, - "/", - list_urls_data[l]) - download_folder <- paste0(directory_to_save, - collection) - download_command <- paste0("wget ", - download_url, - " -P ", - download_folder, - "\n") + download_url <- paste0( + base, + esdt_name, + ".5.12.4/", + year, + "/", + month, + "/", + list_urls_data[l] + ) + download_folder <- paste0( + directory_to_save, + collection + ) + download_command <- paste0( + "wget ", + download_url, + " -P ", + download_folder, + "\n" + ) cat(download_command) - download_url_metadata <- paste0(base, - esdt_name, - ".5.12.4/", - year, - "/", - month, - "/", - list_urls_metadata[l]) - download_folder_metadata <- paste0(directory_to_save, - collection, - "/metadata/") - download_command_metadata <- paste0("wget ", - download_url_metadata, - " -P ", - download_folder_metadata, - "\n") + download_url_metadata <- paste0( + base, + esdt_name, + ".5.12.4/", + year, + "/", + month, + "/", + list_urls_metadata[l] + ) + download_folder_metadata <- paste0( + directory_to_save, + collection, + "/metadata/" + ) + download_command_metadata <- paste0( + "wget ", + download_url_metadata, + " -P ", + download_folder_metadata, + "\n" + ) cat(download_command_metadata) } #### 14. finish "..._wget_commands.txt" sink() #### 15. build system command - system_command <- paste0(". ", - commands_txt, - "\n") + system_command <- paste0( + ". ", + commands_txt, + "\n" + ) #### 16. download data - download_run(download = download, - system_command = system_command, - commands_txt = commands_txt) + download_run( + download = download, + system_command = system_command + ) #### 17. Remove command file - download_remove_command(commands_txt = commands_txt, - remove = remove_command) - + download_remove_command( + commands_txt = commands_txt, + remove = remove_command + ) } @@ -907,14 +999,13 @@ download_merra2_data <- function( #' @return NULL; #' @export download_narr_monolevel_data <- function( - year_start = 2022, - year_end = 2022, - variables = NULL, - directory_to_save = "./input/narr/", - data_download_acknowledgement = FALSE, - download = FALSE, - remove_command = FALSE -) { + year_start = 2022, + year_end = 2022, + variables = NULL, + directory_to_save = "./input/narr/", + data_download_acknowledgement = FALSE, + download = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. check for null parameters @@ -955,6 +1046,16 @@ download_narr_monolevel_data <- function( year, ".nc" ) + if (y == 1) { + if (!(check_url_status(url))) { + sink() + file.remove(commands_txt) + stop(paste0( + "Invalid year returns HTTP code 404. ", + "Check `year_start` parameter.\n" + )) + } + } destfile <- paste0( directory_to_save, variable, @@ -985,8 +1086,7 @@ download_narr_monolevel_data <- function( #### 11. download data download_run( download = download, - system_command = system_command, - commands_txt = commands_txt + system_command = system_command ) #### 12. remove command text file download_remove_command( @@ -1021,14 +1121,13 @@ download_narr_monolevel_data <- function( #' @return NULL; #' @export download_narr_p_levels_data <- function( - year_start = 2022, - year_end = 2022, - variables = NULL, - directory_to_save = "./input/narr/", - data_download_acknowledgement = FALSE, - download = FALSE, - remove_command = FALSE -) { + year_start = 2022, + year_end = 2022, + variables = NULL, + directory_to_save = "./input/narr/", + data_download_acknowledgement = FALSE, + download = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. check for null parameters @@ -1074,6 +1173,16 @@ download_narr_p_levels_data <- function( month, ".nc" ) + if (m == 1) { + if (!(check_url_status(url))) { + sink() + file.remove(commands_txt) + stop(paste0( + "Invalid year returns HTTP code 404. ", + "Check `year_start` parameter.\n" + )) + } + } destfile <- paste0( directory_to_save, variable, @@ -1106,8 +1215,7 @@ download_narr_p_levels_data <- function( #### 12. download data download_run( download = download, - system_command = system_command, - commands_txt = commands_txt + system_command = system_command ) #### 13. Remove command file download_remove_command( @@ -1146,16 +1254,15 @@ download_narr_p_levels_data <- function( #' @returns NULL; #' @export download_nlcd_data <- function( - year = 2021, - collection = "Coterminous United States", - directory_to_download = "./input/nlcd/", - directory_to_save = "./input/nlcd/", - data_download_acknowledgement = FALSE, - unzip = TRUE, - remove_zip = FALSE, - download = FALSE, - remove_command = FALSE -) { + year = 2021, + collection = "Coterminous United States", + directory_to_download = "./input/nlcd/", + directory_to_save = "./input/nlcd/", + data_download_acknowledgement = FALSE, + unzip = TRUE, + remove_zip = FALSE, + download = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. check for null parameters @@ -1239,8 +1346,7 @@ download_nlcd_data <- function( #### 15. download data download_run( download = download, - system_command = system_command, - commands_txt = commands_txt + system_command = system_command ) #### 16. end if unzip == FALSE download_unzip( @@ -1275,7 +1381,7 @@ download_nlcd_data <- function( #' @param data_region character(1). Data can be downloaded for "Global", #' "Africa", "Asia", "Europe", "Americas", "Oceania East", and "Oceania West". #' @param directory_to_download character(1). Directory to download zip files -#' from NASA UN WPP-Adjusted Population Density, v4.11. +#' from NASA Global Roads Open Access Data Set. #' @param directory_to_save character(1). Directory to decompress zip files. #' @param data_download_acknowledgement logical(1). By setting `= TRUE` the user #' acknowledge that the data downloaded using this function may be very large @@ -1292,17 +1398,18 @@ download_nlcd_data <- function( #' @return NULL; #' @export download_sedac_groads_data <- function( - data_format = c("Shapefile", "Geodatabase"), - data_region = c("Americas", "Global", "Africa", "Asia", - "Europe", "Oceania East", "Oceania West"), - directory_to_download = "./input/sedac_groads/", - directory_to_save = "./input/sedac_groads/", - data_download_acknowledgement = FALSE, - unzip = TRUE, - remove_zip = FALSE, - download = FALSE, - remove_command = FALSE -) { + data_format = c("Shapefile", "Geodatabase"), + data_region = c( + "Americas", "Global", "Africa", "Asia", + "Europe", "Oceania East", "Oceania West" + ), + directory_to_download = "./input/sedac_groads/", + directory_to_save = "./input/sedac_groads/", + data_download_acknowledgement = FALSE, + unzip = TRUE, + remove_zip = FALSE, + download = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. check for null parameters @@ -1315,9 +1422,11 @@ download_sedac_groads_data <- function( #### 4. check if region is valid data_region <- match.arg(data_region) #### 5. define URL base - base <- paste0("https://sedac.ciesin.columbia.edu/downloads/data/groads/", - "groads-global-roads-open-access-v1/", - "groads-v1-") + base <- paste0( + "https://sedac.ciesin.columbia.edu/downloads/data/groads/", + "groads-global-roads-open-access-v1/", + "groads-v1-" + ) #### 6. define data format if (data_format == "Shapefile" && data_region == "Global") { cat(paste0("Geodatabase format utilized for 'Global' dataset.\n")) @@ -1330,56 +1439,78 @@ download_sedac_groads_data <- function( #### 7. coerce region to lower case region <- tolower(data_region) #### 8. build download URL - download_url <- paste0(base, - gsub(" ", "-", region), - "-", - format, - ".zip") + download_url <- paste0( + base, + gsub(" ", "-", region), + "-", + format, + ".zip" + ) + if (!(check_url_status(download_url, method = "GET"))) { + stop(paste0( + "Invalid input returns HTTP code 404. ", + "Check parameters.\n" + )) + } #### 9. build download file name - download_name <- paste0(directory_to_download, - "groads_v1_", - gsub(" ", "-", region), - "_", - format, - ".zip") + download_name <- paste0( + directory_to_download, + "groads_v1_", + gsub(" ", "-", region), + "_", + format, + ".zip" + ) #### 10. build system command - download_command <- paste0("curl -n -c ~/.urs_cookies -b ~/.urs_cookies -LJ", - " -o ", - download_name, - " --url ", - download_url, - "\n") + download_command <- paste0( + "curl -n -c ~/.urs_cookies -b ~/.urs_cookies -LJ", + " -o ", + download_name, + " --url ", + download_url, + "\n" + ) #### 11. initiate "..._curl_commands.txt" - commands_txt <- paste0(directory_to_download, - "sedac_groads_", - gsub(" ", "_", region), - "_", - Sys.Date(), - "_curl_command.txt") + commands_txt <- paste0( + directory_to_download, + "sedac_groads_", + gsub(" ", "_", region), + "_", + Sys.Date(), + "_curl_command.txt" + ) download_sink(commands_txt) #### 12. concatenate and print download command to "..._curl_commands.txt" cat(download_command) #### 13. finish "..._curl_commands.txt" file sink() #### 14. build system command - system_command <- paste0(". ", - commands_txt, - "\n") + system_command <- paste0( + ". ", + commands_txt, + "\n" + ) #### 15. download data - download_run(download = download, - system_command = system_command, - commands_txt = commands_txt) + download_run( + download = download, + system_command = system_command + ) #### 16. end if unzip == FALSE - download_unzip(file_name = download_name, - directory_to_unzip = directory_to_save, - unzip = unzip) + download_unzip( + file_name = download_name, + directory_to_unzip = directory_to_save, + unzip = unzip + ) #### 17. Remove command file - download_remove_command(commands_txt = commands_txt, - remove = remove_command) + download_remove_command( + commands_txt = commands_txt, + remove = remove_command + ) #### 18. remove zip files - download_remove_zips(remove = remove_zip, - download_name = download_name) - + download_remove_zips( + remove = remove_zip, + download_name = download_name + ) } @@ -1416,17 +1547,16 @@ download_sedac_groads_data <- function( #' @return NULL; #' @export download_sedac_population_data <- function( - year = "2020", - data_format = "GeoTIFF", - data_resolution = "60 minute", - directory_to_download = "./input/sedac_population/", - directory_to_save = "./input/sedac_population/", - data_download_acknowledgement = FALSE, - download = FALSE, - unzip = TRUE, - remove_zip = FALSE, - remove_command = FALSE -) { + year = "2020", + data_format = "GeoTIFF", + data_resolution = "60 minute", + directory_to_download = "./input/sedac_population/", + directory_to_save = "./input/sedac_population/", + data_download_acknowledgement = FALSE, + download = FALSE, + unzip = TRUE, + remove_zip = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. check for null parameters @@ -1441,17 +1571,25 @@ download_sedac_population_data <- function( #### 5. define year year <- ifelse(year == "all", "totpop", as.character(year)) #### 6. define data resolution - resolution_namecodes <- cbind(c("60 minute", "30 second", "2.5 minute", - "15 minute", "30 minute"), - c("1_deg", "30_sec", "2pt5_min", - "15_min", "30_min")) + resolution_namecodes <- cbind( + c( + "60 minute", "30 second", "2.5 minute", + "15 minute", "30 minute" + ), + c( + "1_deg", "30_sec", "2pt5_min", + "15_min", "30_min" + ) + ) resolution <- resolution_namecodes[resolution_namecodes[, 1] == data_resolution][2] #### 7. 30 second resolution not available for all years if (year == "totpop" && resolution == "30_sec") { resolution <- "2pt5_min" - cat(paste0("30 second resolution not available for all years. Returning", - " highest (2.5 minute) resolution.\n")) + cat(paste0( + "30 second resolution not available for all years. Returning", + " highest (2.5 minute) resolution.\n" + )) } #### 8. define data format if (data_format == "GeoTIFF") { @@ -1459,8 +1597,10 @@ download_sedac_population_data <- function( format <- "tif" } else { format <- "nc" - cat(paste0("Data for all years is only available in netCDF format. ", - "Data will be downloaded as netCDF.\n")) + cat(paste0( + "Data for all years is only available in netCDF format. ", + "Data will be downloaded as netCDF.\n" + )) } } if (data_format == "ASCII") { @@ -1468,74 +1608,99 @@ download_sedac_population_data <- function( format <- "asc" } else { format <- "nc" - cat(paste0("Data for all years is only available in netCDF format. ", - "Data will be downloaded as netCDF.\n")) + cat(paste0( + "Data for all years is only available in netCDF format. ", + "Data will be downloaded as netCDF.\n" + )) } } if (data_format == "netCDF") { format <- "nc" } #### 9. build download URL - download_url <- paste0(base, - "gpw-v4-population-density-adjusted-to-2015-unwpp-", - "country-totals-rev11/", - "gpw-v4-population-density-adjusted-to-2015-unwpp-", - "country-totals-rev11_", - year, - "_", - resolution, - "_", - format, - ".zip") + download_url <- paste0( + base, + "gpw-v4-population-density-adjusted-to-2015-unwpp-", + "country-totals-rev11/", + "gpw-v4-population-density-adjusted-to-2015-unwpp-", + "country-totals-rev11_", + year, + "_", + resolution, + "_", + format, + ".zip" + ) + if (!(check_url_status(download_url, method = "GET"))) { + stop(paste0( + "Invalid input returns HTTP code 404. ", + "Check parameters.\n" + )) + } #### 10. build download file name - download_name <- paste0(directory_to_download, - "gpw_v4_population_density_adjusted_to_2015_unwpp_", - "country_totals_rev11_", - year, - "_", - resolution, - "_", - format, - ".zip") + download_name <- paste0( + directory_to_download, + "gpw_v4_population_density_adjusted_to_2015_unwpp_", + "country_totals_rev11_", + year, + "_", + resolution, + "_", + format, + ".zip" + ) #### 11. build system command - download_command <- paste0("curl -n -c ~/.urs_cookies -b ~/.urs_cookies -LJ", - " -o ", - download_name, - " --url ", - download_url, - "\n") + download_command <- paste0( + "curl -n -c ~/.urs_cookies -b ~/.urs_cookies -LJ", + " -o ", + download_name, + " --url ", + download_url, + "\n" + ) #### 12. initiate "..._curl_command.txt" - commands_txt <- paste0(directory_to_download, - "sedac_population_", - year, - "_", - resolution, - "_", - Sys.Date(), - "_curl_commands.txt") + commands_txt <- paste0( + directory_to_download, + "sedac_population_", + year, + "_", + resolution, + "_", + Sys.Date(), + "_curl_commands.txt" + ) download_sink(commands_txt) #### 13. concatenate and print download command to "..._curl_commands.txt" cat(download_command) #### 14. finish "..._curl_commands.txt" file sink() #### 15. build system command - system_command <- paste0(". ", - commands_txt, - "\n") + system_command <- paste0( + ". ", + commands_txt, + "\n" + ) #### 16. download data - download_run(download = download, - system_command = system_command, - commands_txt = commands_txt) + download_run( + download = download, + system_command = system_command + ) #### 17. end if unzip == FALSE - download_unzip(file_name = download_name, - directory_to_unzip = directory_to_save, - unzip = unzip) + download_unzip( + file_name = download_name, + directory_to_unzip = directory_to_save, + unzip = unzip + ) #### 18. Remove command file - download_remove_command(commands_txt = commands_txt, - remove = remove_command) + download_remove_command( + commands_txt = commands_txt, + remove = remove_command + ) #### 19. remove zip files - download_remove_zips(remove = remove_zip, - download_name = download_name) + download_remove_zips( + remove = remove_zip, + download_name = download_name + ) } @@ -1601,10 +1766,11 @@ download_noaa_hms_smoke_data <- function( )) } #### 5. define date sequence - date_start_date_format <- as.Date(date_start, format = "%Y-%m-%d") - date_end_date_format <- as.Date(date_end, format = "%Y-%m-%d") - date_sequence <- seq(date_start_date_format, date_end_date_format, "day") - date_sequence <- gsub("-", "", as.character(date_sequence)) + date_sequence <- generate_date_sequence( + date_start, + date_end, + sub_hyphen = TRUE + ) #### 6. define URL base base <- "https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/" #### 7. initiate "..._curl_commands.txt" @@ -1640,6 +1806,16 @@ download_noaa_hms_smoke_data <- function( date_sequence[f], suffix ) + if (f == 1) { + if (!(check_url_status(url))) { + sink() + file.remove(commands_txt) + stop(paste0( + "Invalid date returns HTTP code 404. ", + "Check `date_start` parameter.\n" + )) + } + } destfile <- paste0( directory_to_cat, "hms_smoke_", @@ -1669,8 +1845,7 @@ download_noaa_hms_smoke_data <- function( #### 11. download data download_run( download = download, - system_command = system_command, - commands_txt = commands_txt + system_command = system_command ) #### 12. remove command file download_remove_command( @@ -1731,16 +1906,15 @@ download_noaa_hms_smoke_data <- function( #' @return NULL; #' @export download_koppen_geiger_data <- function( - time_period = c("Present", "Future"), - data_resolution = c("0.0083", "0.083", "0.5"), - directory_to_download = "./input/koppen_geiger/", - directory_to_save = "./input/koppen_geiger/", - data_download_acknowledgement = FALSE, - download = FALSE, - unzip = TRUE, - remove_zip = FALSE, - remove_command = FALSE -) { + time_period = c("Present", "Future"), + data_resolution = c("0.0083", "0.083", "0.5"), + directory_to_download = "./input/koppen_geiger/", + directory_to_save = "./input/koppen_geiger/", + data_download_acknowledgement = FALSE, + download = FALSE, + unzip = TRUE, + remove_zip = FALSE, + remove_command = FALSE) { #### 1. check for data download acknowledgement download_permit(data_download_acknowledgement = data_download_acknowledgement) #### 2. check for null parameters @@ -1761,71 +1935,95 @@ download_koppen_geiger_data <- function( #### 8 define download URL download_url <- "https://figshare.com/ndownloader/files/12407516" #### 9 build download file name - download_name <- paste0(directory_to_download, - "koppen_geiger_", - period, - "_", - data_resolution, - ".zip") + download_name <- paste0( + directory_to_download, + "koppen_geiger_", + period, + "_", + data_resolution, + ".zip" + ) #### 10. build download command - download_command <- paste0("wget ", - download_url, - " -O ", - download_name, - "\n") + download_command <- paste0( + "wget ", + download_url, + " -O ", + download_name, + "\n" + ) #### 11. initiate "..._wget_commands.txt" - commands_txt <- paste0(directory_to_download, - "koppen_geiger_", - time_period, - "_", - data_resolution, - "_", - Sys.Date(), - "_wget_command.txt") + commands_txt <- paste0( + directory_to_download, + "koppen_geiger_", + time_period, + "_", + data_resolution, + "_", + Sys.Date(), + "_wget_command.txt" + ) download_sink(commands_txt) #### 12. concatenate and print download command to "..._wget_commands.txt" cat(download_command) #### 13. finish "..._wget_commands.txt" file sink() #### 14. build system command - system_command <- paste0(". ", - commands_txt, - "\n") + system_command <- paste0( + ". ", + commands_txt, + "\n" + ) #### 15. download data - download_run(download = download, - system_command = system_command, - commands_txt = commands_txt) + download_run( + download = download, + system_command = system_command + ) #### 16. end if unzip == FALSE - download_unzip(file_name = download_name, - directory_to_unzip = directory_to_save, - unzip = unzip) + download_unzip( + file_name = download_name, + directory_to_unzip = directory_to_save, + unzip = unzip + ) if (unzip) { #### 17. remove unwanted files - unwanted_names <- list.files(path = directory_to_save, - pattern = "Beck_KG", - full.names = TRUE) - unwanted_names <- as.vector(c(unwanted_names, - paste0(directory_to_save, - "KoppenGeiger.m"))) - tif <- paste0(directory_to_save, - "/Beck_KG_V1_", - period, - "_", - data_resolution, - ".tif") - unwanted_names <- unwanted_names[grep(pattern = tif, - unwanted_names, - invert = TRUE)] + unwanted_names <- list.files( + path = directory_to_save, + pattern = "Beck_KG", + full.names = TRUE + ) + unwanted_names <- as.vector(c( + unwanted_names, + paste0( + directory_to_save, + "KoppenGeiger.m" + ) + )) + tif <- paste0( + directory_to_save, + "/Beck_KG_V1_", + period, + "_", + data_resolution, + ".tif" + ) + unwanted_names <- unwanted_names[grep( + pattern = tif, + unwanted_names, + invert = TRUE + )] file.remove(unwanted_names) } #### 18. Remove command file - download_remove_command(commands_txt = commands_txt, - remove = remove_command) + download_remove_command( + commands_txt = commands_txt, + remove = remove_command + ) #### 19. remove zip files - download_remove_zips(remove = remove_zip, - download_name = download_name) - + download_remove_zips( + remove = remove_zip, + download_name = download_name + ) } @@ -1872,8 +2070,10 @@ download_koppen_geiger_data <- function( download_modis_data <- function( date_start = "2023-09-01", date_end = "2023-09-01", - product = c("MOD09GA", "MOD11A1", "MOD06_L2", - "MCD19A2", "MOD13A2", "VNP46A2"), + product = c( + "MOD09GA", "MOD11A1", "MOD06_L2", + "MCD19A2", "MOD13A2", "VNP46A2" + ), version = "61", horizontal_tiles = c(7, 13), vertical_tiles = c(3, 6), @@ -1917,14 +2117,16 @@ download_modis_data <- function( #### 7. define horizontal and vertical tiles tiles_horizontal <- - seq(horizontal_tiles[1], + seq( + horizontal_tiles[1], horizontal_tiles[2] ) tiles_horizontal <- sprintf("h%02d", tiles_horizontal) tiles_vertical <- - seq(vertical_tiles[1], + seq( + vertical_tiles[1], vertical_tiles[2] ) tiles_vertical <- @@ -1956,22 +2158,28 @@ download_modis_data <- function( sprintf(mod06l2_url_template, date_start, date_end) if (is.null(mod06_links)) { - stop(paste("Please provide a CSV file path to MOD06_L2 download links. + stop(paste( + "Please provide a CSV file path to MOD06_L2 download links. You may download it from the link:\n", mod06l2_full, - "\nTime length up to one month is recommended.\n")) + "\nTime length up to one month is recommended.\n" + )) } #### 10-1. Parse urls in csv file_url <- read.csv(mod06_links) file_url <- unlist(file_url[, 2]) download_url <- - paste0(substr(ladsurl, 1, nchar(ladsurl) - 1), - file_url) + paste0( + substr(ladsurl, 1, nchar(ladsurl) - 1), + file_url + ) #### 10-2. Parse dates from csv file_dates <- - regmatches(file_url, - regexpr("[2][0-2][0-9]{2,2}[0-3][0-9]{2,2}", file_url)) + regmatches( + file_url, + regexpr("[2][0-2][0-9]{2,2}[0-3][0-9]{2,2}", file_url) + ) file_dates <- as.integer(file_dates) date_start <- as.Date(as.character(min(file_dates)), format = "%Y%j") date_end <- as.Date(as.character(max(file_dates)), format = "%Y%j") @@ -2009,34 +2217,39 @@ download_modis_data <- function( commands_txt, "\n" ) - download_run(download = download, - system_command = system_command, - commands_txt = commands_txt) + download_run( + download = download, + system_command = system_command + ) message("Requests were processed.\n") - download_remove_command(commands_txt = commands_txt, - remove = remove_command) + download_remove_command( + commands_txt = commands_txt, + remove = remove_command + ) return(NULL) } #### 11. define date sequence - date_start_date_format <- as.Date(date_start, format = "%Y-%m-%d") - date_end_date_format <- as.Date(date_end, format = "%Y-%m-%d") - date_sequence <- seq(date_start_date_format, date_end_date_format, "day") - + date_sequence <- generate_date_sequence( + date_start, + date_end, + sub_hyphen = FALSE + ) # In a certain year, list all available dates year <- as.character(substr(date_start, 1, 4)) filedir_year_url <- paste0( - ladsurl, - "archive/allData/", - version, - "/", - product, - "/", - year) + ladsurl, + "archive/allData/", + version, + "/", + product, + "/", + year + ) list_available_d <- rvest::read_html(filedir_year_url) |> @@ -2054,8 +2267,10 @@ download_modis_data <- function( date_range_julian <- seq(date_start_i, date_end_i) date_sequence_in <- (date_sequence_i %in% date_range_julian) - message(sprintf("%d / %d days of data available in the queried dates.\n", - sum(date_sequence_in), length(date_range_julian))) + message(sprintf( + "%d / %d days of data available in the queried dates.\n", + sum(date_sequence_in), length(date_range_julian) + )) date_sequence <- date_sequence[date_sequence_in] @@ -2077,9 +2292,10 @@ download_modis_data <- function( day <- date_sequence[d] filedir_url <- paste0( - filedir_year_url, - "/", - day) + filedir_year_url, + "/", + day + ) filelist <- rvest::read_html(filedir_url) |> @@ -2088,8 +2304,10 @@ download_modis_data <- function( filelist_sub <- grep( - paste0("(", paste(tiles_requested, collapse = "|"), ")"), - filelist, value = TRUE) + paste0("(", paste(tiles_requested, collapse = "|"), ")"), + filelist, + value = TRUE + ) download_url <- sprintf("%s%s", ladsurl, filelist_sub) # Main wget run download_command <- paste0( @@ -2115,13 +2333,15 @@ download_modis_data <- function( commands_txt, "\n" ) - download_run(download = download, - system_command = system_command, - commands_txt = commands_txt) + download_run( + download = download, + system_command = system_command + ) message("Requests were processed.\n") - download_remove_command(commands_txt = commands_txt, - remove = remove_command) - + download_remove_command( + commands_txt = commands_txt, + remove = remove_command + ) } diff --git a/R/download_support.R b/R/download_support.R index 0f40fb89..2d3d9aff 100644 --- a/R/download_support.R +++ b/R/download_support.R @@ -67,13 +67,11 @@ download_permit <- #' @param download logical(1). Execute (`TRUE`) or skip (`FALSE`) download. #' @param system_command character(1). Linux command to execute downloads. #' Inherited from data download function. -#' @param commands_txt character(1). Text file with download commands. #' @returns NULL #' @export download_run <- function( download = FALSE, - system_command = NULL, - commands_txt = NULL) { + system_command = NULL) { if (download == TRUE) { cat(paste0("Downloading requested files...\n")) system(command = system_command) @@ -93,9 +91,8 @@ download_run <- function( #' @returns NULL #' @export download_remove_command <- - function( - commands_txt = NULL, - remove = FALSE) { + function(commands_txt = NULL, + remove = FALSE) { if (remove) { file.remove(commands_txt) } @@ -107,8 +104,7 @@ download_remove_command <- #' @returns NULL #' @export download_sink <- - function( - command_txt) { + function(command_txt) { if (file.exists(command_txt)) { file.remove(command_txt) } @@ -124,10 +120,9 @@ download_sink <- #' @returns NULL #' @export download_unzip <- - function( - file_name, - directory_to_unzip, - unzip = TRUE) { + function(file_name, + directory_to_unzip, + unzip = TRUE) { if (!unzip) { cat(paste0("Downloaded files will not be unzipped.\n")) return(NULL) @@ -151,9 +146,8 @@ download_unzip <- #' @returns NULL #' @export download_remove_zips <- - function( - remove = FALSE, - download_name) { + function(remove = FALSE, + download_name) { #### remove zip files if (remove) { cat(paste0("Removing download files...\n")) @@ -170,10 +164,35 @@ download_remove_zips <- #' @export check_for_null_parameters <- function( - parameters - ) { + parameters) { parameters_status <- any(unlist(lapply(parameters, is.null))) if (parameters_status) { stop(paste0("One or more parameters are `NULL`\n")) } } + +#' Generate sequence of dates based on `date_start` and `date_end`. +#' @param date_start character(1). Beginning of date sequence. +#' @param date_end character(1). End of date sequence. +#' @param sub_hyphen logical(1). Substitute hyphen in dates. If `TRUE`, returns +#' date sequence as "YYYYMMDD". If `FALSE`, returns date sequence as +#' "YYYY-MM-DD". +#' @returns vector +#' @export +generate_date_sequence <- + function( + date_start, + date_end, + sub_hyphen = TRUE) { + dates_original <- seq( + as.Date(date_start, format = "%Y-%m-%d"), + as.Date(date_end, format = "%Y-%m-%d"), + "day" + ) + if (sub_hyphen == TRUE) { + dates_sub_hyphen <- gsub("-", "", as.character(dates_original)) + return(dates_sub_hyphen) + } else { + return(dates_original) + } + } diff --git a/inst/extdata/vignette_images/NASA_EarthData_applications.png b/inst/extdata/vignette_images/NASA_EarthData_applications.png new file mode 100644 index 0000000000000000000000000000000000000000..160bbdfaf5c1bf4f3c6e9fd5d270f90bed7366c9 GIT binary patch literal 2489931 zcmeFZcUV)~_AZPKq$r9aB3(BkU3xEyiV}(fp@c5I_YR4ufFMP%JvH>Cpb-7~`_GwsRv-)og)+snM-O!U z&TLHkXBgZ1^Bfl(n51*}jJ`D5ZnEg?=%8eAvb^^2A!qAvSA^6bc0K$^r@qPk&1zZG zMfAw(!?UoGY^$$t%g?{$+%URtUd1g*xrK=H^&ec;s7!X*DZ@_*HEyGR>UUrihW5z-yS zNDTjFFMnKHyy=yj{X%R7`(Nv4?QBb)H;veTKPd9;gmf@n5pq5e8CCfU#!-HyY@%FK zt!WYVmux(6NFGqMQb)kk|7wcB?ov;_Qg`2k6eGrwts`m zpDwGv!R1dqRrzml`BRtu8(jW$&-xo&{sx!-e7pS{T>hMF{S7XEgUf%;H~(fXe>0a~ z2txk`m%qW~Z*cirbNN3-gugYHKc((}Yc7AjyZ$Zc{;4kT|CFFR0LtbUa;IXXW260rA4G!~U(SbZm-j&p(#Rgoa&8(WG>B z2ngW3wd*%3_)k`B&UfBNG1%g8cS_f3T=KtIBOz}D<7!(AcES>L-VJ}R{Gju(^yqEa z#gt8fuQH!-&ZY4?)0vrrqp~8|t(d{le7Xs7HjE_TAH%uz%-qkax-R)93zj+8G8Z_8 zxU}&OkH?!Z#cEtKnW*N46{*2|lh>gQLC!+x?b|+POqC;#z5O9UW0eAkhQHD_c5f<{>ceq%)>s~Q13s}sl4dR(!^pH{`I-5VAeIyySlBrO``J6`%( z{T8OGT8yf#U!B~dUG3$X$J6OQfQNBppJ6+R~`@|77FKit_gAX)I{IA-^O+{x%`nI8Y`a>wij?>*cgpJ(`BtF4G%fJ~vv? 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message = FALSE} +# packages +library(knitr) +library(testthat) +setwd("/Volumes/manwareme/NRTAPmodel/vignettes") +# source functions +home <- "../" +source(paste0(home, "/R/download.R")) +source(paste0(home, "/R/download_support.R")) +source(paste0(home, "/R/download_test_support.R")) +``` + +## Motivation + +The `data_download()` function was developed to improve researchers' access to publicly available geospatial data sets. Although the data are already available online, using a web browser to manually download hundreds or thousands of data files is slow, arduous, and not (efficiently) repeatable. Additionally, as users may not be familiar with creating download recipes in Bash (Unix shell), `data_download()` allows researchers to download data directly with R, a common coding language in the field of environmental health research. Finally, function-izing data downloads is useful for repeated code or automated analysis pipelines. + +## data_download() + +`data_download()` is capable of accessing and downloading geospatial data sets, collections, and variables from a variety of sources. This wrapper function calls on source-specific data download functions, each utilizing a unique combination of input parameters, host URL, naming convention, and data formats. + +```{r, echo = FALSE} +functions <- c( + "download_aqs_data", "download_ecoregion_data", + "download_geos_cf_data", "download_gmted_data", + "download_koppen_geiger_data", "download_merra2_data", + "download_narr_monolevel_data", "download_narr_p_levels_data", + "download_nlcd_data", "download_noaa_hms_smoke_data", + "download_sedac_groads_data", "download_sedac_population_data", + "download_modis_data" +) +source <- c( + "US EPA Air Data Pre-Generated Data Files", + "US EPA Ecoregions", + "NASA Goddard Earth Observing System Composition Forecasting (GEOS-CF)", + "USGS Global Multi-resolution Terrain Elevation Data (GMTED2010)", + "Köppen-Geiger Climate Classification (Beck et al., 2018)", + paste0( + "NASA Modern-Era Retrospective analysis for Research and ", + "Applications, Version 2 (MERRA-2)" + ), + "NOAA NCEP North American Regional Reanalysis (NARR) (monolevel variables)", + paste0( + "NOAA NCEP North American Regional Reanalysis (NARR) (pressure ", + "levels variables)" + ), + "MRLC Consortium National Land Cover Database (NLCD)", + "NOAA Hazard Mapping System Fire and Smoke Product", + "NASA SEDAC Global Roads Open Access Data Set", + "NASA SEDAC UN WPP-Adjusted Population Density", + "NASA Moderate Resolution Imaging Spectroradiometer (MODIS)" +) + +link <- c( + "https://aqs.epa.gov/aqsweb/airdata/download_files.html", + "https://www.epa.gov/eco-research/ecoregions", + "https://gmao.gsfc.nasa.gov/GEOS_systems/", + "https://www.usgs.gov/coastal-changes-and-impacts/gmted2010", + "https://www.nature.com/articles/sdata2018214", + "https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/", + "https://psl.noaa.gov/data/gridded/data.narr.html", + "https://psl.noaa.gov/data/gridded/data.narr.html", + "https://www.mrlc.gov/data", + "https://www.ospo.noaa.gov/Products/land/hms.html#0", + paste0( + "https://sedac.ciesin.columbia.edu/data/set/groads-", + "global-roads-open-access-v1/data-download" + ), + paste0( + "https://sedac.ciesin.columbia.edu/data/set/gpw-v4-", + "population-density-adjusted-to-2015-unwpp-country-", + "totals-rev11" + ), + "https://modis.gsfc.nasa.gov/data/" +) +source <- paste0( + "[", + Source, + "](", + link, + ")" +) + +functions_sources <- data.frame(functions, source) +colnames(functions_sources) <- c("Function", "Source") +kable(functions_sources, + caption = + "Source-Specific Download Functions and Sources" +) +``` + +It is important to note that `data_download()` calls a source-specific function based on the `dataset_name =` parameter. Using the source-specific function directly will return the exact same data (**if the parameters are the same**), but `data_download()` may be beneficial if using a `for` loop to download data from various sources. For example, `download_data(dataset_name = "hms", ...)` will return the same data as `download_noaa_hms_smoke(...)` assuming that `...` indicates the same parameters. + +### Parameters + +User-defined parameters differ based on the data source. Required parameters for each source can be checked with `names(formals())`. + +```{r} +names(formals(download_noaa_hms_smoke_data)) +names(formals(download_narr_monolevel_data)) +``` + +The two functions have different required parameters because `download_noaa_hms_smoke_data()` uses a daily temporal resolution while `download_narr_monolevel_data()` uses yearly, but they share some common, standard parameters. + +#### Standard parameters + +Four parameters are included in all of the data download functions. + +```{r, echo = FALSE} +parameter <- c( + "directory_to_save", + "data_download_acknowledgement", + "download", "remove_command" +) +type <- c("Character", "Logical", "Logical", "Logical") +description <- c( + paste0( + "There must be a directory to save downloaded ", + "data. Default = './input/DATASET_NAME/'." + ), + paste0( + "User must acknowledge that downloading geospatial ", + "data can be very lage and may use lots of machine ", + "storage and memory." + ), + paste0( + "Run or skip the data download. Utilized primarily ", + "for unit tests (see [Unit Tests])." + ), + paste0( + "Remove or retain the text file containing the ", + "generated download commands. Utilized primarily ", + "for unit tests (see [Unit Tests] and [4. Initiate ", + "\"...commands.txt\"])." + ) +) +parameter_descriptions <- data.frame(parameter, type, description) +colnames(parameter_descriptions) <- c("Parameter", "Type", "Description") +kable(parameter_descriptions) +``` + +Additionally, the `dataset_name =` parameter must be specified when using `data_download()`, but is assumed when using a source-specific download function. + +### Function Structure + +Although each source-specific download function is unique, they all follow the same general structure. The following chunks of code have been **adopted** from `download_noaa_hms_smoke_data()` to demonstrate the functions' structure. + +[1. Clean Parameters] + +[2. Generate Download URLs] + +[3. Generate download file names] + +[4. Initiate "...commands.txt"] + +[5. Concatenate download commands] + +[6. Finalize "...commands.txt"] + +[7. Run commands in "...commands.txt"] + +[8. Zip files (if applicable)](#zip-files-if-applicable) + +#### 1. Clean parameters + +Cleaning the user-defined parameters is highly dependent on the parameters themselves and the desired URL to be created. A common parameter cleaning step is creating a date-time sequence based on a given temporal range and required format, in this case `YYYYMMDD`. + +```{r} +# user defined parameters +date_start <- "2023-12-28" +date_end <- "2024-01-02" +``` + +```{r} +date_sequence <- seq( + as.Date(date_start, format = "%Y-%m-%d"), + as.Date(date_end, format = "%Y-%m-%d"), + "day" +) +date_sequence <- gsub("-", "", as.character(date_sequence)) +date_sequence +``` + +#### 2. Generate download URLs + +The URL base and pattern are identified by manually inspecting the download link on the source-specific web page. `download_noaa_hms_smoke_data()` utilizes the year, month, date, and data format to generate the download url. + +```{r} +# user defined parameters +data_format <- "Shapefile" +suffix <- ".zip" +``` + +```{r} +urls <- NULL +for (d in seq_along(date_sequence)) { + year <- substr(date_sequence[d], 1, 4) + month <- substr(date_sequence[d], 5, 6) + base <- "https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/" + url <- paste0( + base, + data_format, + "/", + year, + "/", + month, + "/hms_smoke", + date_sequence[d], + suffix + ) + urls <- c(urls, url) +} +urls +``` + +A download URL is created for each date in `date_sequence` based on the fixed pattern. + +#### 3. Generate download file names + +The generation of download file names also follows a fixed pattern, typically a combination of the user-defined download directory, data set name, spatiotemporal characteristic, data type, and, if applicable, specific variable name. Unlike the download URLs, the download file names can be defined in any way by the writer of the function, but using the previously defined characteristics is useful for identification. + +```{r} +# user defined parameters +directory_to_download <- "./data/" +``` + +```{r} +download_file_names <- NULL +for (d in seq_along(date_sequence)) { + download_file_name <- paste0( + directory_to_download, + "hms_smoke_", + data_format, + "_", + date_sequence[d], + suffix + ) + download_file_names <- c(download_file_names, download_file_name) +} +download_file_names +``` + +A download URL is created for each date in `date_sequence` based on the fixed pattern. + +#### 4. Initiate "...commands.txt" + +An important aspect of the data download function is its `sink()...cat()...sink()` structure. Rather than using the `utils::download.file()` function, a text file is created to store all of the download commands generated from the URLs and file names. + +This structure is utilized for several reasons: + +- Consistent structure for all the source-specific download functions. + +- The `download.file()` function cannot accept vectors of URLs and destination files for downloading. An additional `for` loop to download data will increase function complexity and may reduce performance. + +- Writing commands in Bash (Unix shell) script allows for specific arguments and flags. + +- Storing the download URLs without immediately running the download allows for unit testing and URL checking (more on this in [Unit Tests]). + +The text file containing the download commands is named based on the data set, temporal range, and data transfer method. + +```{r} +commands_txt <- paste0( + directory_to_download, + "hms_smoke_", + head(date_sequence, n = 1), + "_", + tail(date_sequence, n = 1), + "_curl_commands.txt" +) +``` + +Create and sink the text file. + +```{r, eval = FALSE} +sink(commands_txt) +``` + +#### 5. Concatenate download commands + +The Linux-based download commands are written according to the data transfer method, download URL, download file name, and additional arguments. Which additional arguments are included, and their order, depend on the data transfer method and URL type. + +For more information on `curl` and `wget`, the two data transfer methods utilized by the data download functions, see [curl.1 the man page](https://curl.se/docs/manpage.html) and [GNU Wget 1.21.1-dirty Manual](https://www.gnu.org/software/wget/manual/wget.html) (latest version as of January 8, 2024). + +The `cat()` function will store each of the download commands written in the `for` loop to the previously sunk commands text file (`commands_txt`). + +```{r, eval = FALSE} +for (d in seq_along(date_sequence)) { + download_comamnd <- paste0( + "curl -s -o ", + download_file_names[d], + " --url ", + urls[d], + "\n" + ) + cat(download_comamnd) +} +``` + +#### 6. Finalize "...commands.txt" + +After the download commands have been concatenated to the commands text file, a second `sink()` command is run to finalize the file and stop the appending of R output. + +```{r, eval = FALSE} +sink() +``` + +#### 7. Run commands in "...commands.txt" + +A "system command" must be created to run all of the download commands stored in the commands text file. In bash script, `.` indicates to run all of the commands within a given script. In this case, we will run all of the commands within the commands text file. + +```{r} +system_command <- paste0( + ". ", + commands_txt, + "\n" +) +system_command +``` + +Running the `system_command` deploys a "helper function", `download_run()`, a function created to reduce repeated code across the source-specific download functions. The function takes two parameters, `system_command =`, which indicates the command to be run, and `download =`, a user-defined logical parameter. + +```{r} +download_run <- function( + download = FALSE, + system_command = NULL) { + if (download == TRUE) { + cat(paste0("Downloading requested files...\n")) + system(command = system_command) + cat(paste0("Requested files have been downloaded.\n")) + } else { + cat(paste0("Skipping data download.\n")) + return(NULL) + } +} +``` + +The data download is initiated by running `download_run()` with the system command identified and `download = TRUE`. + +```{r, eval = FALSE} +download_run( + download = TRUE, + system_command = system_command +) +``` + +Checking the download directory shows that all of the requested files have been downloaded. + +```{r, eval = FALSE} +list.files(path = directory_to_download) +``` + +```{r, echo = FALSE} +paste0("hms_smoke_Shapefile_", date_sequence, ".zip") +``` + + +#### 8. Zip files (if applicable) {#zip-files-if-applicable} + +All of the source-specific data download functions follow this general pattern, but those functions which download zip files require additional steps to inflate and remove the downloaded zip files, if desired. Each of these two steps are run by helper functions, and they are run by the user-defined `unzip = ` and `remove_zip = ` parameters in `data_download()`. + +`download_unzip()` inflates zip files if `unzip = TRUE`, and skips inflation if `unzip = FALSE`. + +```{r} +download_unzip <- + function(file_name, + directory_to_unzip, + unzip = TRUE) { + if (!unzip) { + cat(paste0("Downloaded files will not be unzipped.\n")) + return(NULL) + } + cat(paste0("Unzipping files...\n")) + unzip(file_name, + exdir = directory_to_unzip + ) + cat(paste0( + "Files unzipped and saved in ", + directory_to_unzip, + ".\n" + )) + } +``` + +`download_remove_zips()` removes the downloaded zip files if `remove = TRUE`, and skips removal if `remove = FALSE`. + +```{r} +download_remove_zips <- + function(remove = FALSE, + download_name) { + if (remove) { + cat(paste0("Removing download files...\n")) + file.remove(download_name) + cat(paste0("Download files removed.\n")) + } + } +``` + +For this demonstration we will unzip (inflate) the downloaded zip files but we will not delete them. + +```{r, eval = FALSE} +for (f in seq_along(download_file_names)) { + download_unzip( + file_name = download_file_names[f], + directory_to_unzip = directory_to_download, + unzip = TRUE + ) +} +download_remove_zips( + download_name = download_file_names, + remove = FALSE +) +``` + +```{r, echo = FALSE} +for (f in seq_along(download_file_names)) { + cat(paste0("Unzipping files...\n")) + cat(paste0( + "Files unzipped and saved in ", + directory_to_download, + ".\n" + )) +} +``` + + +Listing the files again shows that the contents of the zip files have been inflated and the zip files have been retained. + +```{r, eval = FALSE} +list.files(path = directory_to_download) +``` + +```{r, echo = FALSE} +zips <- paste0("hms_smoke_Shapefile_", date_sequence, ".zip") +for (s in seq_along(date_sequence)) { + shps <- c( + paste0("hms_smoke", date_sequence[s], ".dbf"), + paste0("hms_smoke", date_sequence[s], ".prj"), + paste0("hms_smoke", date_sequence[s], ".shp"), + paste0("hms_smoke", date_sequence[s], ".shx") + ) + zips <- c(zips, shps) +} +zips +``` + +The download function was structured successfully. + +## Unit Tests + +The previous outline successfully cleaned parameters, generated URLs, and downloaded data, but how can we be sure that it will continue to work with different temporal ranges and data types? To this end, unit tests have been implemented to ensure that each data download function runs properly and that URLs produced by [2. Generate download URLs] are valid and accessible. Like the download functions, the unit tests rely on "helper" functions to reduce repeated code across the tests. + +### Helper functions + +`read_commands()` imports the commands text file and converts the data frame to a vector. + +```{r} +read_commands <- function( + commands_path = commands_path) { + commands <- utils::read.csv(commands_path, header = FALSE) + commands <- commands[seq_len(nrow(commands)), ] + return(commands) +} +``` + +`extract_urls()` extracts each download URL from the vector of commands. The `position =` of the URL within the download command is determined in [5. Concatenate download commands]. + +```{r} +# function to extract URLs from vector +extract_urls <- function( + commands = commands, + position = NULL) { + if (is.null(position)) { + cat(paste0("URL position in command is not defined.\n")) + return(NULL) + } + url_list <- NULL + for (c in seq_along(commands)) { + url <- stringr::str_split_i(commands[c], " ", position) + url_list <- c(url_list, url) + } + return(url_list) +} +``` + +`check_url_status()` is the most important of the download test "helper" functions. This function utilizes `httr::HEAD()` and `httr::GET()` to check the HTTP response status of a given URL. The desired HTTP response status is 200, which means the URL is valid and accessible. `check_url_status()` returns a logical value to indicate whether the URL returns HTTP status 200 (`TRUE`) or not (`FALSE`). For more information on HTTP status', see [HTTP response status codes](https://developer.mozilla.org/en-US/docs/Web/HTTP/Status). + +```{r} +check_url_status <- function( + url, + method = "HEAD") { + http_status_ok <- 200 + if (method == "HEAD") { + hd <- httr::HEAD(url) + } else if (method == "GET") { + hd <- httr::GET(url) + } + status <- hd$status_code + return(status == http_status_ok) +} +``` + +`check_urls()` applies `check_url_status()` to a random sample of URLs extracted by `extract_urls()`. The sample size will vary based on the data set and spatio-temporal parameters being tested. The function returns a logical vector containing the output from `check_url_status()`. + +```{r} +check_urls <- function( + urls = urls, + size = NULL, + method = "HEAD") { + if (is.null(size)) { + cat(paste0("URL sample size is not defined.\n")) + return(NULL) + } + if (length(urls) < size) { + size <- length(urls) + } + url_sample <- sample(urls, size, replace = FALSE) + url_status <- sapply(url_sample, + check_url_status, + method = method + ) + return(url_status) +} +``` + +### testthat + +To demonstrate a test in action, test the URLs generated by `download_data()` for the NOAA HMS Smoke data set. + +For more information see [testthat](https://testthat.r-lib.org/). + +```{r, eval = FALSE} +library(testthat) +testthat::test_that( + "Valid dates return HTTP response status = 200.", + { + # parameters + test_start <- "2023-12-28" + test_end <- "2024-01-02" + test_directory <- "./data" + # download + download_data( + dataset_name = "noaa", + date_start = test_start, + date_end = test_end, + data_format = "Shapefile", + directory_to_download = test_directory, + directory_to_save = test_directory, + data_download_acknowledgement = TRUE, + download = FALSE, + remove_command = FALSE, + unzip = FALSE, + remove_zip = FALSE + ) + commands_path <- paste0( + test_directory, + "hms_smoke_", + gsub("-", "", test_start), + "_", + gsub("-", "", test_end), + "_curl_commands.txt" + ) + # helpers + commands <- read_commands(commands_path = commands_path) + urls <- extract_urls(commands = commands, position = 6) + url_status <- check_urls(urls = urls, size = 6, method = "HEAD") + # test for true + expect_true(all(url_status)) + } +) +``` + +```{r, echo = FALSE} +library(testthat) +testthat::test_that( + "Valid dates return HTTP response status = 200.", + { + # parameters + test_start <- "2023-12-28" + test_end <- "2024-01-02" + test_directory <- "../tests/testdata/" + # download + download_data( + dataset_name = "noaa", + date_start = test_start, + date_end = test_end, + data_format = "Shapefile", + directory_to_download = test_directory, + directory_to_save = test_directory, + data_download_acknowledgement = TRUE, + download = FALSE, + remove_command = FALSE, + unzip = FALSE, + remove_zip = FALSE + ) + commands_path <- paste0( + test_directory, + "hms_smoke_", + gsub("-", "", test_start), + "_", + gsub("-", "", test_end), + "_curl_commands.txt" + ) + # helpers + commands <- read_commands(commands_path = commands_path) + urls <- extract_urls(commands = commands, position = 6) + url_status <- check_urls(urls = urls, size = 6, method = "HEAD") + # test for true + expect_true(all(url_status)) + # remove after test + file.remove(commands_path) + } +) +``` + + +Although the `testthat::test_that(...)` chunk contains 32 lines of code, the unit test is performed by `expect_true(all(url_status))`. In words, this line is expecting (`expect_true()`) that all (`all()`) of the sampled URLs return HTTP response status 200 (`url_status`). Since this expectation was met, the test passed! + +For an alternate example, we can use a start and end date that are known to not have data. As the URLs associated with these dates do not exist, we expect `all(url_status)` to return `FALSE`. + +```{r, eval = FALSE} +testthat::test_that( + "Invalid dates return HTTP response status != 200.", + { + # parameters + test_start <- "1800-01-01" + test_end <- "1800-01-02" + test_directory <- "./data/" + # download + download_data( + dataset_name = "noaa", + date_start = test_start, + date_end = test_end, + data_format = "Shapefile", + directory_to_download = test_directory, + directory_to_save = test_directory, + data_download_acknowledgement = TRUE, + download = FALSE, + remove_command = FALSE, + unzip = FALSE, + remove_zip = FALSE + ) + commands_path <- paste0( + test_directory, + "hms_smoke_", + gsub("-", "", test_start), + "_", + gsub("-", "", test_end), + "_curl_commands.txt" + ) + # helpers + commands <- read_commands(commands_path = commands_path) + urls <- extract_urls(commands = commands, position = 6) + url_status <- check_urls(urls = urls, size = 2, method = "HEAD") + # test for false + expect_false(all(url_status)) + } +) +``` + +```{r, echo = FALSE} +testthat::test_that( + "Invalid dates return me.", + { + # parameters + test_start <- "1800-01-01" + test_end <- "1800-01-02" + test_directory <- "../tests/testdata/" + # download + download_data( + dataset_name = "noaa", + date_start = test_start, + date_end = test_end, + data_format = "Shapefile", + directory_to_download = test_directory, + directory_to_save = test_directory, + data_download_acknowledgement = TRUE, + download = FALSE, + remove_command = FALSE, + unzip = FALSE, + remove_zip = FALSE + ) + commands_path <- paste0( + test_directory, + "hms_smoke_", + gsub("-", "", test_start), + "_", + gsub("-", "", test_end), + "_curl_commands.txt" + ) + # helpers + commands <- read_commands(commands_path = commands_path) + urls <- extract_urls(commands = commands, position = 6) + url_status <- check_urls(urls = urls, size = 2, method = "HEAD") + # test for false + expect_false(all(url_status)) + # remove after test + file.remove(commands_path) + } +) +``` + +As expected, the test passes because the NOAA HMS Smoke data set does not contain data for January 1-2, 1800. + +These unit tests are just two of many implemented on `download_data()` and the accompanying source-specific download functions, but they demonstrate how unit testing helps build stable code. + +## Download Example + +With the function structure outlined and the unit tests in place, we can now perform a data download. To begin, check the parameters required by the source-specific data download function. + +```{r} +names(formals(download_noaa_hms_smoke_data)) +``` + +Define the parameters. + +```{r} +date_start <- "2023-12-28" +date_end <- "2024-01-02" +data_format <- "Shapefile" +data_directory <- "./download_example/" +data_download_acknowledgement <- TRUE +download <- TRUE # run data download +remove_command <- TRUE # delete "...commands.txt" file +unzip <- TRUE # inflate (unzip) downloaded zip files +remove_zip <- FALSE # retain downloaded zip files +``` + +Download the data. + +```{r, eval = FALSE} +download_data( + dataset_name = "hms", + date_start = date_start, + date_end = date_end, + directory_to_download = data_directory, + directory_to_save = data_directory, + data_download_acknowledgement = data_download_acknowledgement, + download = download, + remove_command = remove_command, + unzip = unzip, + remove_zip = remove_zip +) +``` + +```{r, echo = FALSE} +to_cat <- + paste0( + "Downloading requested files...\n", + "Requested files have been downloaded.\n" + ) +cat(to_cat) +for (f in seq_along(download_file_names)) { + cat(paste0("Unzipping files...\n")) + cat(paste0( + "Files unzipped and saved in ", + data_directory, + ".\n" + )) +} +``` + +Checking the directory shows that all of our desired data has been downloaded and inflated, and the original zip files have been retained. + +```{r, eval = FALSE} +list.files(data_directory) +``` + +```{r, echo = FALSE} +zips <- paste0("hms_smoke_Shapefile_", date_sequence, ".zip") +for (s in seq_along(date_sequence)) { + shps <- c( + paste0("hms_smoke", date_sequence[s], ".dbf"), + paste0("hms_smoke", date_sequence[s], ".prj"), + paste0("hms_smoke", date_sequence[s], ".shp"), + paste0("hms_smoke", date_sequence[s], ".shx") + ) + zips <- c(zips, shps) +} +zips +``` + +## NASA EarthData Account + +As mentioned in [Motivation], `data_download()` provides access to **publicly available** geospatial data. Although publicly available, some of the NASA data sources require a NASA EarthData Account. + +For example, the UN WPP-Adjusted population density data from NASA Socioeconomic Data and Applications Center (SEDAC) requires an EarthData account. Without an EarthData Account and the prerequisite files prepared, the data download functions will return an error. + +```{r, eval = FALSE} +download_data( + dataset_name = "sedac_population", + year = "2020", + data_format = "GeoTIFF", + data_resolution = "60 minute", + directory_to_download = "./sedac_population/", + directory_to_save = "./sedac_population", + data_download_acknowledgement = TRUE, + download = TRUE, + unzip = TRUE, + remove_zip = FALSE, + remove_command = TRUE +) +``` + +```{r, echo = FALSE} +to_cat <- + paste0( + "Downloading requested files...\n", + "Requested files have been downloaded.\n", + "Unzipping files...\n\n", + "Warning in unzip(file_name, exdir = directory_to_unzip): ", + "error 1 in extracting from zip file\n\n", + "Files unzipped and saved in ./sedac_population/.\n\n" + ) +cat(to_cat) +``` + +The downloaded file cannot be unzipped because the data was not downloaded properly. + +### Register or log in + +Visit [https://urs.earthdata.nasa.gov/](http://urs.earthdata.nasa.gov) to register for or log into a NASA EarthData account. + +![NASA EarthData Account Landing Page](../inst/extdata/vignette_images/NASA_EarthData_login.png) + +Account registration provides access to NASA's Earth Observing System Data and Information System (EOSDIS) and its twelve Distributed Active Archive Centers (DAAC), including: + +- Alaska Satellite Facility (ASF) DAAC +- Atmospheric Science Data Center (ASDC) +- Crustal Dynamics Data Information System (CDDIS) +- Global Hydrometeorology Resource Center (GHRC) +- Goddard Earth Sciences Data and Information Services Center (GES DISC) +- Land Processes DAAC (LP DAAC) +- Level 1 and Atmosphere Archive and Distribution System (LAADS) DAAC +- National Snow and Ice Data Center (NSIDC) DAAC +- Oak Ridge National Laboratory (ORNL) DAAC +- Ocean Biology DAAC (OB.DAAC) +- Physical Oceanography DAAC (PO.DAAC) +- Socioeconomic Data and Applications Center (SEDAC) + +See for more information. + +### Approved applications + +After creating an account, navigate to "My Profile"(https://urs.earthdata.nasa.gov/profile), and then to "Applications \> Authorized Apps". This "Authorized Apps" page specifies which NASA EarthData applications can use your login credentials. For this example, ensure that authorization is enabled for "SEDAC Website", "SEDAC Website (Alpha)", and "SEDAC Website (Beta)". + +![NASA EarthData Approved Applications](../inst/extdata/vignette_images/NASA_EarthData_applications.png) + +### Prerequisite files + +With a NASA EarthData Account and the required applications authorized to use the credentials, it is time to create the prerequisite files. + +**Note** As the steps to produce the prerequisite files is very specific, much of the code used is adopted from [How to Generate Earthdata Prerequisite Files](https://disc.gsfc.nasa.gov/information/howto?title=How%20to%20Generate%20Earthdata%20Prerequisite%20Files) on NASA GES DISC's "How-To's" webpage ([link](https://disc.gsfc.nasa.gov/information/howto)). + +#### `.netrc` + +The following commands create the `.netrc` file, which contains your NASA EarthData Account credentials. + +First, set your working directory to the home directory. Setting a working directory differs between Mac/Linux and Windows machines. + +```{r, eval = FALSE} +if (.Platform$OS.type == "unix") { + setwd("~/") +} else if (.Platform$OS.type == "windows") { + setwd("C:/") +} +``` + +Create a file named `.netrc` with `file.create()`. + +```{r, eval = FALSE} +file.create(".netrc") +``` + +Open a connection to `.netrc` with `sink()`. Write the line `machine urs...` replacing `YOUR_USERNAME` and `YOUR_PASSWORD` with your NASA EarthData username and password, respectively. After writing the line, close the connection with `sink()` again. + +```{r, eval = FALSE} +sink(".netrc") +writeLines( + "machine urs.earthdata.nasa.gov login YOUR_USERNAME password YOUR_PASSWORD" +) +sink() +``` + +Edit the settings so only you, the owner of the file, can read and write `.netrc`. + +```{r, eval = FALSE} +system("chmod 0600 .netrc") +``` + +After, check to ensure the file was created properly. + +```{r, eval = FALSE} +file.exists(".netrc") +``` + +```{r, echo = FALSE} +TRUE +``` + +```{r, eval = FALSE} +readLines(".netrc") +``` + +```{r, echo = FALSE} +paste0( + "machine urs.earthdata.nasa.gov login YOUR_USERNAME password YOUR_PASSWORD" +) +``` + + +#### `.urs_cookies` + +The following commands create the `.urs_cookies` file. + +First, set your working directory to the home directory. + +```{r, eval = FALSE} +if (.Platform$OS.type == "unix") { + setwd("~/") +} else if (.Platform$OS.type == "windows") { + setwd("C:/") +} +``` + +Create a file named `.netrc` with `file.create()`. + +```{r, eval = FALSE} +file.create(".urs_cookies") +``` + +After, check to ensure the file was created properly. + +```{r, eval = FALSE} +file.exists(".urs_cookies") +``` + +```{r, echo = FALSE} +TRUE +``` + +#### `.dodsrc` + +The following commands create the `.urs_cookies` file. + +First, set your working directory to the home directory. + +```{r, eval = FALSE} +if (.Platform$OS.type == "unix") { + setwd("~/") +} else if (.Platform$OS.type == "windows") { + setwd("C:/") +} +``` + +Create a file named ".dodsrc" with `file.create()` + +```{r, eval = FALSE} +file.create(".dodsrc") +``` + +Open a connection to `.dodsrc` with `sink()`. Write the lines beginning with `HTTP.`, replacing `YOUR_USERNAME` and `YOUR_PASSWORD` with your NASA EarthData username and password, respectively. After writing the line, close the connection with `sink()` again. + +```{r, eval = FALSE} +sink(".dodsrc") +writeLines( + paste0( + "HTTP.NETRC=YOUR_HOME_DIRECTORY/.netrc\n", + "HTTP.COOKIE.JAR=YOUR_HOME_DIRECTORY/.urs_cookies" + ) +) +sink() +``` + +After, check to ensure the file was created properly. + +```{r, eval = FALSE} +file.exists(".dodsrc") +``` + +```{r, echo = FALSE} +TRUE +``` + +```{r, eval = FALSE} +readLines(".dodsrc") +``` + +```{r, echo = FALSE} +paste0( + c( + "HTTP.NETRC=YOUR_HOME_DIRECTORY/.netrc", + "HTTP.COOKIE.JAR=YOUR_HOME_DIRECTORY/.urs_cookies" + ) +) +``` + +If working on a **Windows** machine, copy the `.dodsrc` file to the project working directory. Replace `YOUR_WORKING_DIRECTORY` with the absolute path to the project working directory. + +```{r} +if (.Platform$OS.type == "windows") { + file.copy( + "C:/.dodsrc", + "YOUR_WORKING_DIRECTORY/.dodsrc" + ) +} +``` + +It is important to ensure that these commands, as well as your username, password, and home directory, are typed without error, as a single problem with any of these files will result in a failed download. + +If the files have been created correctly, the UN WPP-Adjusted population density data from NASA Socioeconomic Data and Applications Center (SEDAC) will be downloaded and unzipped without returning an error. + +```{r, eval = FALSE} +download_data( + dataset_name = "sedac_population", + year = "2020", + data_format = "GeoTIFF", + data_resolution = "60 minute", + directory_to_download = "./sedac_population/", + directory_to_save = "./sedac_population", + data_download_acknowledgement = TRUE, + download = TRUE, + unzip = TRUE, + remove_zip = FALSE, + remove_command = TRUE +) +``` + +```{r, echo = FALSE} +to_cat <- + paste0( + "Downloading requested files...\n", + "Requested files have been downloaded.\n", + "Unzipping files...\n", + "Files unzipped and saved in ./sedac_population/.\n" + ) +cat(to_cat) +``` + +```{r, eval = FALSE} +list.files("./sedac_population") +``` + +```{r, echo = FALSE} +sedac_files <- c( + paste0( + "gpw_v4_population_density_adjusted_to_2015_unwpp_country_totals_", + "rev11_2020_1_deg_tif_readme.txt" + ), + paste0( + "gpw_v4_population_density_adjusted_to_2015_unwpp_country_totals_", + "rev11_2020_1_deg_tif.zip" + ), + paste0( + "gpw_v4_population_density_adjusted_to_2015_unwpp_country_totals_", + "rev11_2020_1_deg.tif" + ) +) +sedac_files +``` + +## References + +- EOSDIS Distributed Active Archive Centers (DAAC). *National Aeronautics and Space Administration (NASA)*. Date accessed: January 3, 2024. [https://www.earthdata.nasa.gov/eosdis/daacs](). +- How to Generate Earthdata Prerequisite Files. *National Aeronautics and Space Administration (NASA)*. Date accessed: January 3, 2024. [https://disc.gsfc.nasa.gov/information/howto?title=How%20to%20Generate%20Earthdata%20Prerequisite%20Files](). + +## Code Example + +The following is the entire R code used to create `download_noaa_hms_smoke_data()`. + +```{r} +download_noaa_hms_smoke_data +```

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