as.spark.dataframe: Import data from a spatial RDD into a Spark Dataframe.
In r-spark/sparklyr.sedona: Sparklyr Extension for Apache Sedona

Import data from a spatial RDD (possibly with non-spatial attributes) into a Spark Dataframe.

1	as.spark.dataframe(x, non_spatial_cols = NULL, name = NULL)

`x`	A spatial RDD.
`non_spatial_cols`	Column names for non-spatial attributes in the resulting Spark Dataframe.
`name`	Name to assign to the resulting Spark temporary view. If unspecified, then a random name will be assigned.

library(sparklyr)
library(sparklyr.sedona)

sc <- spark_connect(master = "spark://HOST:PORT")

if (!inherits(sc, "test_connection")) {
  input_location <- system.file(
    file.path("extdata", "arealm-tiny.csv"), package = "sparklyr.sedona"
  )
  rdd <- sedona_read_dsv_to_typed_rdd(
    sc,
    location = input_location,
    delimiter = ",",
    type = "point",
    first_spatial_col_index = 1L,
    repartition = 5
  )
  sdf <- as.spark.dataframe(rdd, non_spatial_cols = c("attr1", "attr2"))
}