sedona_render_choropleth_map {apache.sedona} R Documentation

## Visualize a Sedona spatial RDD using a choropleth map.

### Description

Generate a choropleth map of a pair RDD assigning integral values to polygons.

### Usage

sedona_render_choropleth_map(
pair_rdd,
resolution_x,
resolution_y,
output_location,
output_format = c("png", "gif", "svg"),
boundary = NULL,
color_of_variation = c("red", "green", "blue"),
base_color = c(0, 0, 0),
reverse_coords = FALSE,
overlay = NULL,
browse = interactive()
)


### Arguments

 pair_rdd A pair RDD with Sedona Polygon objects being keys and java.lang.Long being values. 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. color_of_variation Which color channel will vary depending on values of data points. Must be one of "red", "green", or "blue". Default: red. base_color Color of any data point with value 0. Must be a numeric vector of length 3 specifying values for red, green, and blue channels. Default: c(0, 0, 0). shade Whether data point with larger magnitude will be displayed with darker color. Default: TRUE. reverse_coords Whether to reverse spatial coordinates in the plot (default: FALSE). 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()).

### Value

No return value.

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

### Examples

library(sparklyr)
library(apache.sedona)

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

if (!inherits(sc, "test_connection")) {
pt_input_location <- "/dev/null" # replace it with the path to your input file
sc,
location = pt_input_location,
type = "point",
first_spatial_col_index = 1
)
polygon_input_location <- "/dev/null" # replace it with the path to your input file
sc,
location = polygon_input_location,
type = "polygon"
)
join_result_rdd <- sedona_spatial_join_count_by_key(
pt_rdd,
polygon_rdd,
join_type = "intersect",
)
sedona_render_choropleth_map(
join_result_rdd,
400,
200,
output_location = tempfile("choropleth-map-"),
boundary = c(-86.8, -86.6, 33.4, 33.6),
base_color = c(255, 255, 255)
)
}



[Package apache.sedona version 1.1.1 Index]