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When to use Geom raster vs ggplot2?
You always want # to use geom_raster here because it’s so much faster, and produces # smaller output when saving to PDF ggplot ( faithfuld, aes ( waiting, eruptions )) + geom_raster ( aes (fill = density ))
Why do we use rectangles in Geom raster?
These are often aesthetics, used to set an aesthetic to a fixed value, like colour = “red” or size = 3. They may also be parameters to the paired geom/stat. horizontal and vertical justification of the grob.
What’s the difference between Geom rect and Geom tile?
geom_rect and geom_tile do the same thing, but are parameterised differently: geom_rect uses the locations of the four corners ( xmin, xmax, ymin and ymax ), while geom_tile uses the center of the tile and its size ( x , y, width, height ). geom_raster is a high performance special case for when all the tiles are the same size.
How does the geom bar function work in R?
If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot (). A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify () for which variables will be created. A function will be called with a single argument, the plot data.
How to make a Geom rect in ggplot?
ggplot (df, aes (xmin = x-w / 2, xmax = x + w / 2, ymin = y, ymax = y + 1)) + geom_rect (aes (fill = z), colour = “grey50”)
Is there a way to plot multiple rasters?
In response to OP’s additional question, here is how to plot multiple rasters as requested. Assuming all rasters have the same extent, resolution, projections, etc., you can stack them into a RasterStack, and then use levelplot on the stack.
How to add aesthetic mappings to a ggplot?
Set of aesthetic mappings created by aes () or aes_ (). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping. The data to be displayed in this layer. There are three options: