apache.sedona (version 1.7.2)

sedona_render_heatmap: Visualize a Sedona spatial RDD using a heatmap.

Description

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

Usage

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()
)

Value

No return value.

Arguments

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()).

See Also

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

Examples

library(sparklyr)
library(apache.sedona)

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

if (!inherits(sc, "test_connection")) {
  input_location <- "/dev/null" # replace it with the path to your input file
  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("points-"),
    output_format = "png",
    boundary = c(-91, -84, 30, 35),
    blur_radius = 10
  )
}