sedona_render_heatmap: Visualize a Sedona spatial RDD using a heatmap.
In r-spark/sparklyr.sedona: Sparklyr Extension for Apache Sedona

Description Usage Arguments See Also Examples

Generate a heatmap of geometrical object(s) within a Sedona spatial RDD.

sedona_render_heatmap(
  rdd,
  resolution_x,
  resolution_y,
  output_location,
  output_format = c("png", "gif", "svg"),
  boundary = NULL,
  blur_radius = 10L,
  overlay = NULL,
  browse = interactive()
)

`rdd`	A Sedona spatial RDD.
`resolution_x`	Resolution on the x-axis.
`resolution_y`	Resolution on the y-axis.
`output_location`	Location of the output image. This should be the desired path of the image file excluding extension in its file name.
`output_format`	File format of the output image. Currently "png", "gif", and "svg" formats are supported (default: "png").
`boundary`	Only render data within the given rectangular boundary. The 'boundary' parameter can be set to either a numeric vector of c(min_x, max_y, min_y, max_y) values, or with a bounding box object e.g., new_bounding_box(sc, min_x, max_y, min_y, max_y), or NULL (the default). If 'boundary' is NULL, then the minimum bounding box of the input spatial RDD will be computed and used as boundary for rendering.
`blur_radius`	Controls the radius of a Gaussian blur in the resulting heatmap.
`overlay`	A `viz_op` object containing a raster image to be displayed on top of the resulting image.
`browse`	Whether to open the rendered image in a browser (default: interactive()).

Other Sedona visualization routines: sedona_render_choropleth_map(), sedona_render_scatter_plot()

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-small.csv"), package = "sparklyr.sedona"
  )
  rdd <- sedona_read_dsv_to_typed_rdd(
    sc,
    location = input_location,
    type = "point"
  )

  sedona_render_heatmap(
    rdd,
    resolution_x = 800,
    resolution_y = 600,
    output_location = tempfile("arealm-small-"),
    output_format = "png",
    boundary = c(-91, -84, 30, 35),
    blur_radius = 10
  )
}