Points layer for "rasterly". Deprecated now, please use rasterly_points instead.
rasterize_points(
rastObj,
data = NULL,
mapping = aes(),
...,
xlim = NULL,
ylim = NULL,
max_size = NULL,
reduction_func = NULL,
layout = NULL,
glyph = NULL,
group_by_data_table = NULL,
inherit.aes = TRUE
)A rasterly object.
A data.frame or function with an argument x, specifying the dataset to use for plotting. If data
is NULL, the data argument provided to rasterly may be passed through.
Default list of aesthetic mappings to use for plot. If provided and inherit.aes = TRUE, it will be
stacked on top of the mappings passed to rasterly.
Pass-through arguments provided by rasterly.
Vector of type numeric. X limits in this layer.
Vector of type numeric. Y limits in this layer.
Numeric. When size changes, the upper bound of the number of pixels over which to spread a single observation.
Function. A reduction function is used to aggregate data points into their pixel representations. Currently
supported reduction operators are sum, any, mean, m2, first, last, min and max. Default is sum. See details.
Character. The method used to generate layouts for multiple images. The default is weighted. Useful for categorical
data (i.e. "color" is provided via aes()). weighted specifies that the final raster should be a weighted combination of each
(categorical) aggregation matrix. Conversely, cover indicates that the afterwards objects will be drawn on top of
the previous ones.
Character. Currently, only "circle" and "square" are supported; as the size of the pixels increases, how should they
spread out -- should the pattern be circular or square? Other glyphs may be added in the future.
Logical. Default is TRUE; when "color" is provided via aes(), the "group by" operation may be
perfromed within data.table or natively within rasterly. Generally, group_by_data_table = TRUE is faster, but for very
large datasets grouping within rasterly may offer better performance.
If FALSE, overrides the default aesthetics, rather than combining with them.