geom_stars( mapping =NULL, data =NULL,..., downsample =0, sf =FALSE, na.action = na.pass
)theme_stars(...)
Arguments
mapping: see geom_raster
data: see geom_raster
...: see geom_raster
downsample: downsampling rate: e.g. 3 keeps rows and cols 1, 4, 7, 10 etc.; a value of 0 does not downsample; can be specified for each dimension, e.g. c(5,5,0) to downsample the first two dimensions but not the third.
sf: logical; if TRUE rasters will be converted to polygons and plotted using geom_sf .
na.action: function; if NA values need to be removed before plotting use the value na.omit here (only applies to objects with raster dimensions)
Details
geom_stars returns (a call to) either geom_raster , geom_tile , or geom_sf , depending on the raster or vector geometry; for the first to, an aes call is constructed with the raster dimension names and the first array as fill variable. Further calls to coord_equal and facet_wrap are needed to control aspect ratio and the layers to be plotted; see examples. If a stars array contains hex color values, and no fill parameter is given, the color values are used as fill color; see the example below.
If visual artefacts occur (Moiré-Effekt), then see the details section of plot.stars
Examples
system.file("tif/L7_ETMs.tif", package ="stars")%>% read_stars()-> x
if(require(ggplot2, quietly =TRUE)){ ggplot()+ geom_stars(data = x)+ coord_equal()+ facet_wrap(~band)+ theme_void()+ scale_x_discrete(expand=c(0,0))+ scale_y_discrete(expand=c(0,0))# plot rgb composite: st_as_stars(L7_ETMs)[,,,1:3]|> st_rgb()-> x # x contains colors as pixel values ggplot()+ geom_stars(data = x)}