rgee (version 1.1.7)

sf_as_ee: Convert an sf object to an EE object

Description

Load an sf object to Earth Engine.

Usage

sf_as_ee(
  x,
  via = "getInfo",
  assetId = NULL,
  bucket = NULL,
  predefinedAcl = "bucketLevel",
  command_line_tool_path = NULL,
  overwrite = TRUE,
  monitoring = TRUE,
  proj = "EPSG:4326",
  evenOdd = TRUE,
  geodesic = NULL,
  quiet = FALSE,
  ...
)

Value

When via is "getInfo" and x is either an sf or sfc object with multiple geometries will return an ee$FeatureCollection. For single sfc and sfg objects will return an ee$Geometry$....

If via is either "getInfo_to_asset" or "gcs_to_asset" always will return an ee$FeatureCollection.

Arguments

x

object of class sf, sfc or sfg.

via

Character. Upload method for sf objects. Three methods are implemented: 'getInfo', 'getInfo_to_asset' and 'gcs_to_asset'. See details.

assetId

Character. Destination asset ID for the uploaded file. Ignore if via argument is "getInfo".

bucket

Character. Name of the bucket (GCS) to save intermediate files (ignore if via is not defined as "gcs_to_asset").

predefinedAcl

Specify user access to object. Passed to googleCloudStorageR::gcs_upload.

command_line_tool_path

Character. Path to the Earth Engine command line tool (CLT). If NULL, rgee assumes that CLT is set in the system PATH. (ignore if via is not defined as "gcs_to_asset").

overwrite

A boolean argument that indicates indicating whether "filename" should be overwritten. Ignore if via argument is "getInfo". By default TRUE.

monitoring

Logical. Ignore if via is not set as getInfo_to_asset or gcs_to_asset. If TRUE the exportation task will be monitored.

proj

Integer or character. Coordinate Reference System (CRS) for the EE object, defaults to "EPSG:4326" (x=longitude, y=latitude).

evenOdd

Logical. Ignored if x is not a Polygon. If TRUE, polygon interiors will be determined by the even/odd rule, where a point is inside if it crosses an odd number of edges to reach a point at infinity. Otherwise polygons use the left-inside rule, where interiors are on the left side of the shell's edges when walking the vertices in the given order. If unspecified, defaults to TRUE.

geodesic

Logical. Ignored if x is not a Polygon or LineString. Whether line segments should be interpreted as spherical geodesics. If FALSE, indicates that line segments should be interpreted as planar lines in the specified CRS. If absent, defaults to TRUE if the CRS is geographic (including the default EPSG:4326), or to FALSE if the CRS is projected.

quiet

Logical. Suppress info message.

...

ee_utils_create_manifest_table arguments might be included.

Details

sf_as_ee supports the upload of sf objects by three different options: "getInfo" (default), "getInfo_to_asset", and "gcs_to_asset". getInfo transforms sf objects (sfg, sfc, or sf) to GeoJSON (using geojsonio::geojson_json) and then encrusted them in an HTTP request using the server-side objects that are implemented in the Earth Engine API (i.e. ee$Geometry$...). If the sf object is too large (~ >1Mb) is likely to cause bottlenecks since it is a temporary file that is not saved in your EE Assets (server-side). The second option implemented is 'getInfo_to_asset'. It is similar to the previous one, with the difference that after create the server-side object will save it in your Earth Engine Assets. For dealing with very large spatial objects is preferable to use the third option 'gcs_to_asset'. This option firstly saves the sf object as a *.shp file in the /temp directory. Secondly, using the function local_to_gcs will move the shapefile from local to Google Cloud Storage. Finally, using the function gcs_to_ee_table the ESRI shapefile will be loaded to their EE Assets. See Importing table data documentation for more details.

Examples

if (FALSE) {
library(rgee)
library(sf)
ee_Initialize()

# 1. Handling geometry parameters
# Simple
ee_x <- st_read(system.file("shape/nc.shp", package = "sf")) %>%
  sf_as_ee()

Map$centerObject(eeObject = ee_x)
Map$addLayer(ee_x)

# Create a right-inside polygon.
toy_poly <- matrix(data = c(-35,-10,-35,10,35,10,35,-10,-35,-10),
                   ncol = 2,
                   byrow = TRUE) %>%
  list() %>%
  st_polygon()

holePoly <- sf_as_ee(x = toy_poly, evenOdd = FALSE)

# Create an even-odd version of the polygon.
evenOddPoly <- sf_as_ee(toy_poly, evenOdd = TRUE)

# Create a point to test the insideness of the polygon.
pt <- ee$Geometry$Point(c(1.5, 1.5))

# Check insideness with a contains operator.
print(holePoly$contains(pt)$getInfo() %>% ee_utils_py_to_r())
print(evenOddPoly$contains(pt)$getInfo() %>% ee_utils_py_to_r())

# 2. Upload small geometries to EE asset
assetId <- sprintf("%s/%s", ee_get_assethome(), 'toy_poly')
eex <- sf_as_ee(
 x = toy_poly,
 overwrite = TRUE,
 assetId = assetId,
 via = "getInfo_to_asset")
# 3. Upload large geometries to EE asset
ee_Initialize(gcs = TRUE)
assetId <- sprintf("%s/%s", ee_get_assethome(), 'toy_poly_gcs')
eex <- sf_as_ee(
  x = toy_poly,
  overwrite = TRUE,
  assetId = assetId,
  bucket = 'rgee_dev',
  monitoring = FALSE,
  via = 'gcs_to_asset'
)
ee_monitoring(max_attempts = Inf)
}