sedona_render_choropleth_map | R Documentation |
Generate a choropleth map of a pair RDD assigning integral values to polygons.
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),
shade = TRUE,
reverse_coords = FALSE,
overlay = NULL,
browse = interactive()
)
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 |
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 |
browse |
Whether to open the rendered image in a browser (default: interactive()). |
No return value.
Other Sedona visualization routines:
sedona_render_heatmap()
,
sedona_render_scatter_plot()
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
pt_rdd <- sedona_read_dsv_to_typed_rdd(
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
polygon_rdd <- sedona_read_geojson_to_typed_rdd(
sc,
location = polygon_input_location,
type = "polygon"
)
join_result_rdd <- sedona_spatial_join_count_by_key(
pt_rdd,
polygon_rdd,
join_type = "intersect",
partitioner = "quadtree"
)
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)
)
}
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