tm_chart_histogram | R Documentation |
Legend charts are small charts that are added to the map, usually in addition to legends.
tm_chart_histogram(
breaks,
plot.axis.x,
plot.axis.y,
extra.ggplot2,
position,
width,
height,
stack,
z,
group.frame,
resize.as.group
)
tm_chart_bar(
plot.axis.x,
plot.axis.y,
extra.ggplot2,
position,
width,
height,
stack,
z,
group.frame,
resize.as.group
)
tm_chart_donut(position, width, height, stack, z, group.frame, resize.as.group)
tm_chart_violin(
position,
width,
height,
stack,
z,
group.frame,
resize.as.group
)
tm_chart_box(position, width, height, stack, z, group.frame, resize.as.group)
tm_chart_none()
tm_chart_heatmap(
position,
width,
height,
stack,
z,
group.frame,
resize.as.group
)
breaks |
The breaks of the bins (for histograms) |
plot.axis.x , plot.axis.y |
Should the x axis and y axis be plot? |
extra.ggplot2 |
Extra ggplot2 code |
position |
Position of the chart. See |
width |
in number of text lines (height of it) |
height |
in number of text lines |
stack |
stack with other map components? |
z |
stacking order |
group.frame |
group.frame |
resize.as.group |
resize.as.group |
Note that these charts are different from charts drawn inside the map. Those are called glyphs (to be implemented).
## numerical variable
tm_shape(World) +
tm_polygons("HPI",
fill.scale = tm_scale_intervals(),
fill.chart = tm_chart_histogram())
tm_shape(World) +
tm_polygons("HPI",
fill.scale = tm_scale_continuous(),
fill.chart = tm_chart_histogram(
position = tm_pos_out("center", "bottom"),
width = 30)
)
tm_shape(World) +
tm_polygons("HPI",
fill.scale = tm_scale_intervals(),
fill.chart = tm_chart_donut())
tm_shape(World) +
tm_polygons("HPI",
fill.scale = tm_scale_intervals(),
fill.chart = tm_chart_box())
tm_shape(World) +
tm_polygons("HPI",
fill.scale = tm_scale_intervals(),
fill.chart = tm_chart_violin())
# with additional ggplot2 code
require(ggplot2)
tm_shape(World) +
tm_polygons("HPI",
fill.scale = tm_scale_intervals(),
fill.chart = tm_chart_bar(
extra.ggplot2 = theme(
panel.grid.major.y = element_line(colour = "red")
))
)
tm_shape(land) +
tm_raster("trees",
col.chart = tm_chart_histogram())
## categorical variable
tm_shape(World) +
tm_polygons("economy",
fill.scale = tm_scale_categorical(),
fill.chart = tm_chart_bar())
tm_shape(World) +
tm_polygons("economy",
fill.scale = tm_scale_categorical(),
fill.chart = tm_chart_donut())
# bivariate (in development)
tm_shape(World) +
tm_polygons(tm_mv("HPI", "well_being"), fill.chart = tm_chart_heatmap())
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