Using scatterbar with Visium data
In scatterbar: Scattered Stacked Bar Chart Plots

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

Using scatterbar with Visium data

Below is how to use scatterbar from the provided Visium dataset of an FFPE preserved adult mouse brain partial coronal section from 10X Genomics.

library(scatterbar)
library(ggplot2)
data("adult_mouse_brain_ffpe")

plot(adult_mouse_brain_ffpe$pos)
head(adult_mouse_brain_ffpe$prop)

start.time <- Sys.time()
scatterbar(
  adult_mouse_brain_ffpe$prop,
  adult_mouse_brain_ffpe$pos,
  size_x = 220,
  size_y = 220,
  legend_title = "Cell Types"
) + coord_fixed()

end.time <- Sys.time()
print(end.time - start.time)

Just like with the mOB data, we can change the order of how each bar is laid out by changing the order of the cell-type proportion matrix and combine scatterbar with other ggplot geoms and customization.

start.time <- Sys.time()
custom_colors <- c('1'= '#5d6f99',
    '2' = '#985a39',
    '3' =  '#d6589a',
    '4' = '#4d1395',
    '5' = '#b5ef27',
    '6' = '#77d5bc',
    '7' = '#7830d2',
    '8' ='#b43b59',
    '9' = '#1c40b1',
    '10' = "#FF5733",
    '11' = '#FFFF00',
    '12' = '#f4a6f1')
scatterbar::scatterbar(adult_mouse_brain_ffpe$prop[, c(2,3,4,11,5,6,10,7,8,1,9, 12)], adult_mouse_brain_ffpe$pos, size_x = 220, size_y = 220, padding_x = 0.1, padding_y = 0.1, legend_title = 'Cell Type', colors = custom_colors) +
  geom_point(data=adult_mouse_brain_ffpe$pos, mapping=aes(x=x, y=y), size = 0.1) +
  theme_bw() + ylab('y') + ggplot2::coord_fixed()
end.time <- Sys.time()
print(end.time - start.time)