Visualize cells according to spatial coordinates

spatCellPlot2D(
  gobject,
  show_image = F,
  gimage = NULL,
  image_name = "image",
  sdimx = "sdimx",
  sdimy = "sdimy",
  spat_enr_names = NULL,
  cell_annotation_values = NULL,
  cell_color_gradient = c("blue", "white", "red"),
  gradient_midpoint = NULL,
  gradient_limits = NULL,
  select_cell_groups = NULL,
  select_cells = NULL,
  point_shape = c("border", "no_border", "voronoi"),
  point_size = 3,
  point_alpha = 1,
  point_border_col = "black",
  point_border_stroke = 0.1,
  show_cluster_center = F,
  show_center_label = F,
  center_point_size = 4,
  center_point_border_col = "black",
  center_point_border_stroke = 0.1,
  label_size = 4,
  label_fontface = "bold",
  show_network = F,
  spatial_network_name = "Delaunay_network",
  network_color = NULL,
  network_alpha = 1,
  show_grid = F,
  spatial_grid_name = "spatial_grid",
  grid_color = NULL,
  show_other_cells = T,
  other_cell_color = "lightgrey",
  other_point_size = 1,
  other_cells_alpha = 0.1,
  coord_fix_ratio = NULL,
  show_legend = T,
  legend_text = 8,
  legend_symbol_size = 1,
  background_color = "white",
  vor_border_color = "white",
  vor_max_radius = 200,
  vor_alpha = 1,
  axis_text = 8,
  axis_title = 8,
  cow_n_col = 2,
  cow_rel_h = 1,
  cow_rel_w = 1,
  cow_align = "h",
  show_plot = NA,
  return_plot = NA,
  save_plot = NA,
  save_param = list(),
  default_save_name = "spatCellPlot2D"
)

Arguments

gobject

giotto object

show_image

show a tissue background image

gimage

a giotto image

image_name

name of a giotto image

sdimx

x-axis dimension name (default = 'sdimx')

sdimy

y-axis dimension name (default = 'sdimy')

spat_enr_names

names of spatial enrichment results to include

cell_annotation_values

numeric cell annotation columns

cell_color_gradient

vector with 3 colors for numeric data

gradient_midpoint

midpoint for color gradient

gradient_limits

vector with lower and upper limits

select_cell_groups

select subset of cells/clusters based on cell_color parameter

select_cells

select subset of cells based on cell IDs

point_shape

shape of points (border, no_border or voronoi)

point_size

size of point (cell)

point_alpha

transparancy of spatial points

point_border_col

color of border around points

point_border_stroke

stroke size of border around points

show_cluster_center

plot center of selected clusters

show_center_label

plot label of selected clusters

center_point_size

size of center points

center_point_border_col

border color of center points

center_point_border_stroke

border stroke size of center points

label_size

size of labels

label_fontface

font of labels

show_network

show underlying spatial network

spatial_network_name

name of spatial network to use

network_color

color of spatial network

network_alpha

alpha of spatial network

show_grid

show spatial grid

spatial_grid_name

name of spatial grid to use

grid_color

color of spatial grid

show_other_cells

display not selected cells

other_cell_color

color of not selected cells

other_point_size

point size of not selected cells

other_cells_alpha

alpha of not selected cells

coord_fix_ratio

fix ratio between x and y-axis

show_legend

show legend

legend_text

size of legend text

legend_symbol_size

size of legend symbols

background_color

color of plot background

vor_border_color

border colorr for voronoi plot

vor_max_radius

maximum radius for voronoi 'cells'

vor_alpha

transparancy of voronoi 'cells'

axis_text

size of axis text

axis_title

size of axis title

cow_n_col

cowplot param: how many columns

cow_rel_h

cowplot param: relative height

cow_rel_w

cowplot param: relative width

cow_align

cowplot param: how to align

show_plot

show plot

return_plot

return ggplot object

save_plot

directly save the plot [boolean]

save_param

list of saving parameters, see showSaveParameters

default_save_name

default save name for saving, don't change, change save_name in save_param

Value

ggplot

Details

Description of parameters.

See also

Other spatial cell annotation visualizations: spatCellPlot()

Examples


data(mini_giotto_single_cell)

# combine all metadata
combineMetadata(mini_giotto_single_cell, spat_enr_names = 'cluster_metagene')

# visualize total expression information
spatCellPlot2D(mini_giotto_single_cell, cell_annotation_values = 'total_expr')

# visualize enrichment results
spatCellPlot2D(mini_giotto_single_cell,
               spat_enr_names = 'cluster_metagene',
               cell_annotation_values = c('1','2'))