Arrange small multiples in a grid layout. Normally, small multiples are created
by specifying multiple variables for one aesthetic or by specifying the by argument
(see tm_facets()
). This function can be used to arrange custom small multiples in a grid layout.
tmap_arrange(
...,
ncol = NA,
nrow = NA,
widths = NA,
heights = NA,
sync = FALSE,
asp = 0,
outer.margins = 0.02
)# S3 method for tmap_arrange
knit_print(x, ..., options = NULL)
# S3 method for tmap_arrange
print(x, knit = FALSE, ..., options = NULL)
tmap
objects or one list of tmap
objects.
The number of multiples that can be plot is limited (see details).
number of columns
number of rows
vector of column widths. It should add up to 1 and the length
should be equal to ncol
.
vector of row heights. It should add up to 1 and the length
should be equal to nrow
.
logical. Should the navigation in view mode (zooming and panning)
be synchronized? By default FALSE
.
aspect ratio. The aspect ratio of each map. Normally, this is
controlled by the asp
argument from tm_layout()
(also a tmap option).
This argument will overwrite it, unless set to NULL
.
The default value for asp
is 0, which means that the aspect ratio is
adjusted to the size of the device divided by the number of columns and rows.
When asp
is set to NA
, which is also the default value for tm_layout()
,
the aspect ratio will be adjusted to the used shapes.
outer.margins, numeric vector four or a single value.
If defines the outer margins for each multiple. If will overwrite the
outer.margins
argument from tm_layout()
, unless set to NULL
.
a tmap_arrange
object (returned from tmap_arrange()
).
options passed on to knitr::knit_print()
should knitr::knit_print()
be enabled, or the normal base::print()
function?
The global option tmap.limits
controls the limit of the number of facets that are plotted.
By default, tmap_options(tmap.limits = c(facets.view=4, facets.plot=64))
.
The maximum number of interactive facets is set to four since otherwise it may become very slow.
tm1 = tm_shape(World) + tm_polygons("HPI")
tm2 = tm_shape(metro) + tm_bubbles(size = "pop2020")
tmap_arrange(tm1, tm2)
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