export_ssn | R Documentation |
This function exports the calculated sites, edges and binary IDs to a folder which then can be read using the 'SSN' package.
export_ssn(path, predictions = NULL, delete_directory = FALSE)
path |
character; path to write .ssn object to. |
predictions |
name(s) of prediction map(s) (optional). |
delete_directory |
boolean; shall the ssn directory and all files be deleted before export in case it already exists? See details. |
First it is checked if one of the column names is longer than 10 characters (which cannot be exported to ESRI shape files as required by 'SSN').
delete_directory = TRUE
is useful if the same directory name has been
used before and the existing data shall be overwritten.
Nothing. Files are written to the specified folder
Mira Kattwinkel,mira.kattwinkel@gmx.net, Eduard Szoecs, eduardszoecs@gmail.com
dem_path <- system.file("extdata", "nc", "elev_ned_30m.tif", package = "openSTARS") if(.Platform$OS.type == "windows"){ grass_program_path = "c:/Program Files/GRASS GIS 7.6" } else { grass_program_path = "/usr/lib/grass78/" } setup_grass_environment(dem = dem_path, gisBase = grass_program_path, remove_GISRC = TRUE, override = TRUE ) gmeta() # Load files into GRASS dem_path <- system.file("extdata", "nc", "elev_ned_30m.tif", package = "openSTARS") sites_path <- system.file("extdata", "nc", "sites_nc.shp", package = "openSTARS") import_data(dem = dem_path, sites = sites_path) # Derive streams from DEM derive_streams(burn = 0, accum_threshold = 700, condition = TRUE, clean = TRUE) # Check and correct complex confluences (there are no complex confluences in this # example date set; set accum_threshold in derive_streams to a smaller value # to create complex confluences) cj <- check_compl_confluences() if(cj){ correct_compl_confluences() } # Prepare edges calc_edges() # Prepare site calc_sites() # Write data to SSN Folder ssn_dir <- file.path(tempdir(), 'nc.ssn') export_ssn(ssn_dir, delete_directory = TRUE) list.files(ssn_dir)
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