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

Creates a task to export a FeatureCollection to an EE table asset. — ee_table_to_asset • rgee

Creates a task to export a FeatureCollection to an EE table asset. This function is a wrapper around ee$batch$Export$table$toAsset(...).

ee_table_to_asset(
  collection,
  description = "myExportTableTask",
  assetId = NULL,
  overwrite = FALSE
)
Arguments
collection

The feature collection to be exported.

description

Human-readable name of the task.

assetId

The destination asset ID. **kwargs: Holds other keyword arguments that may have been deprecated.

overwrite

Logical. If TRUE, the assetId will be overwritten if it exists.

Value

An unstarted Task that exports the table to Earth Engine Asset.

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

ee_users()
ee_Initialize()

# 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")))
)

assetid <- paste0(ee_get_assethome(), '/geom_Amarakaeri')
task_vector <- ee_table_to_asset(
  collection = amk_fc,
  overwrite = TRUE,
  assetId = assetid
)
task_vector$start()
ee_monitoring(task_vector) # optional

ee_fc <- ee$FeatureCollection(assetid)
Map$centerObject(ee_fc)
Map$addLayer(ee_fc)
} # }

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