The goal of leaflethex is to create hexbin layers that can be added to plots made with the leaflet package.
This is a work in progress and is not yet a functional R package. Stay tuned!
You can install the released version of leaflethex from CRAN with:
And the development version from GitHub with:
This is a basic example which shows you how to add the hexbin layer to your leaflet map:
library(leaflethex)
df = tibble(
lat = rnorm(100),
lng = rnorm(100)
)
map <- leaflet::leaflet(df) %>%
leaflet::addTiles() %>%
leaflethex::add_hexbin(
radius = 19,
lowEndColor = "yellow",
highEndColor="red")
map
data
- data frame or tibble - alternate data to use for this hexbin instead of default map data
radius
- numeric - choose the base size for the hexagons
opacity
- decimal - between 0.0 and 1.0 - choose the percent of opacity for the hexagons
duration
- numeric - positive milliseconds taken by the renderer to draw the hexagons
lowEndColor
- string - choose the color for the smaller hexagons
highEndColor
- string - choose the color for the larger hexagons
Note About Coloring - For best readable results, use colors that have high contrast in hue and shade such as red and yellow. White is generally a safe option for the lowEndColor
, but the eye is better at picking up changes in hue than changes in shade.
uniformSize
- boolean - choose if the size of the hexagons should be uniform or variable
uniformColor
- string - choose a color to be uniform across the different sizes of hexagons instead of variable color
sizeSummaryFunction
- string - choose a function from ‘count’, ‘sum’, ‘max’, ‘min’, ‘mean’, or ‘median’ or give a valid JS function (in development)
sizevar
- string - the name of the variable used to calculate the size of the hex using the sizeSummaryFunction
colorSummaryFunction
- string - choose a function from ‘count’, ‘sum’, ‘max’, ‘min’, ‘mean’, or ‘median’ or give a valid JS function (in development)
colorvar
- string - the name of the variable used to calculate the color of the hex using the colorSummaryFunction