## 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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