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Showing content from https://r-spatial.github.io/rgee/reference/ee_table_to_drive.html below:

Creates a task to export a FeatureCollection to Google Drive. — ee_table_to_drive • rgee

Creates a task to export a FeatureCollection to Google Drive. This function is a wrapper around ee$batch$Export$table$toDrive(...).

ee_table_to_drive(
  collection,
  description = "myExportTableTask",
  folder = "rgee_backup",
  fileNamePrefix = NULL,
  timePrefix = TRUE,
  fileFormat = NULL,
  selectors = NULL
)

collection

The feature collection to be exported.

description

User-friendly name of the task.

folder

The name of a unique folder in your Drive account to export into. Defaults to the root of the drive.

fileNamePrefix

The Google Drive filename for the export. Defaults to the name of the task.

timePrefix

Add current date and time as a prefix to files to export.

fileFormat

The output format: "CSV" (default), "GeoJSON", "KML", "KMZ", "SHP", or "TFRecord".

selectors

A list of properties to include in the output, as a list of strings or a comma-separated string. By default, all properties are included. **kwargs: Holds other keyword arguments that may have been deprecated such as 'driveFolder' and 'driveFileNamePrefix'.

An unstarted Task that exports the table to Google Drive.

if (FALSE) { # \dontrun{
library(rgee)
library(stars)
library(sf)

ee_users()
ee_Initialize(drive = TRUE)


# Define study area (local -> earth engine)
# Communal Reserve Amarakaeri - Peru
rlist <- list(xmin = -71.13, xmax = -70.95,ymin = -12.89, ymax = -12.73)
ROI <- c(rlist$xmin, rlist$ymin,
         rlist$xmax, rlist$ymin,
         rlist$xmax, rlist$ymax,
         rlist$xmin, rlist$ymax,
         rlist$xmin, rlist$ymin)
ee_ROI <- matrix(ROI, ncol = 2, byrow = TRUE) %>%
  list() %>%
  st_polygon() %>%
  st_sfc() %>%
  st_set_crs(4326) %>%
  sf_as_ee()

amk_fc <- ee$FeatureCollection(
  list(ee$Feature(ee_ROI, list(name = "Amarakaeri")))
)

task_vector <- ee_table_to_drive(
  collection = amk_fc,
  fileFormat = "GEO_JSON",
  fileNamePrefix = "geom_Amarakaeri"
)
task_vector$start()
ee_monitoring(task_vector) # optional
ee_drive_to_local(task = task_vector)
} # }

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