The HeatmapLayer can be used to visualize spatial distribution of data. It internally implements Gaussian Kernel Density Estimation to render heatmaps.

add_heatmap_layer(
  deckgl,
  id = "heatmap-layer",
  data = NULL,
  properties = list(),
  ...
)

Arguments

deckgl

A deckgl widget object.

id

The unique id of the layer.

data

The url to fetch data from or a data object.

properties

A named list of properties with names corresponding to the properties defined in the deckgl-api-reference for the given layer class. The properties parameter can also be an empty list. In this case all props must be passed as named arguments.

...

Named arguments that will be added to the properties object. Identical parameters are overwritten.

Examples

## @knitr heatmap-layer
data("sf_bike_parking")

map <- deckgl() %>%
  add_heatmap_layer(
    data = sf_bike_parking,
    getPosition = ~lng + lat,
    getWeight = ~spaces
  ) %>%
  add_basemap()

if (interactive()) map