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tmap (version 1.4-1)

tm_raster: Draw a raster

Description

Creates a tmap-element that draws a raster. For coloring, there are three options: 1) a fixed color is used, 2) a color palette is mapped to a data variable, 3) RGB values are used.

Usage

tm_raster(col = NA, alpha = NA, palette = NULL, n = 5, style = ifelse(is.null(breaks), "pretty", "fixed"), breaks = NULL, labels = NULL, auto.palette.mapping = TRUE, contrast = NA, max.categories = 12, colorNA = NULL, saturation = 1, textNA = "Missing", showNA = NA, title = NA, legend.show = TRUE, legend.format = list(), legend.is.portrait = TRUE, legend.hist = FALSE, legend.hist.title = NA, legend.z = NA, legend.hist.z = NA)

Arguments

col
three options: a single color value, the name of a data variable that is contained in shp, or the name of a variable in shp that contain color values. In the second case the values (numeric or categorical) that will be depicted by a color palette (see palette. If omitted, and if shp contains three numeric layers that range between 0 and 255, these are interpreted as RGB values, else, the first data variable is selected. If multiple values are specified, small multiples are drawn (see details). By default, it is the name of the first data variable.
alpha
transparency number between 0 (totally transparent) and 1 (not transparent). By default, the alpha value of the col is used (normally 1).
palette
palette name. See RColorBrewer::display.brewer.all() for options. Use a "-" as prefix to reverse the palette. The default palette is taken from tm_layout's argument aes.palette.
n
preferred number of classes (in case col is a numeric variable)
style
method to process the color scale when col is a numeric variable. Discrete options are "cat", "fixed", "sd", "equal", "pretty", "quantile", "kmeans", "hclust", "bclust", "fisher", and "jenks". A numeric variable is processed as a categorial variable when using "cat", i.e. each unique value will correspond to a distinct category. For the other discrete options, see the details in classIntervals. Continuous options are "cont" and "order". The former maps the values of col to a smooth gradient, whereas the latter maps the order of values of col to a smooth gradient. They are the continuous variants of respectively the discrete methods "equal" and quantile".
breaks
in case style=="fixed", breaks should be specified
labels
labels of the classes
auto.palette.mapping
When diverging colour palettes are used (i.e. "RdBu") this method automatically maps colors to values such that the middle colors (mostly white or yellow) are assigned to values of 0, and the two sides of the color palette are assigned to negative respectively positive values. When categorical color palettes are used, this method stretches the palette is there are more levels than colors.
contrast
vector of two numbers that determine the range that is used for sequential and diverging palettes (applicable when auto.palette.mapping=TRUE). Both numbers should be between 0 and 1. The first number determines where the palette begins, and the second number where it ends. For sequential palettes, 0 means the brightest color, and 1 the darkest color. For diverging palettes, 0 means the middle color, and 1 both extremes. If only one number is provided, this number is interpreted as the endpoint (with 0 taken as the start).
max.categories
in case col is the name of a categorical variable, this value determines how many categories (levels) it can have maximally. If the number of levels is higher than max.categories and auto.palette.mapping is FALSE, then levels are combined.
colorNA
color used for missing values. Use NULL for transparency.
saturation
Number that determines how much saturation (also known as chroma) is used: saturation=0 is greyscale and saturation=1 is normal. This saturation value is multiplied by the overall saturation of the map (see tm_layout).
textNA
text used for missing values.
showNA
logical that determines whether missing values are named in the legend. By default (NA), this depends on the presence of missing values.
title
title of the legend element
legend.show
logical that determines whether the legend is shown
legend.format
list of formatting options for the legend numbers. Only applicable if labels is undefined. Parameters are:
scientific
Should the labels be formatted scientically? If so, square brackets are used, and the format of the numbers is "g". Otherwise, format="f", and text.separator, text.less.than, and text.or.more are used. Also, the numbers are automatically rounded to millions or billions if applicable.

format
By default, "f", i.e. the standard notation xxx.xxx, is used. If scientific=TRUE then "g", which means that numbers are formatted scientically, i.e. n.dddE+nn if needed to save space.

digits
Number of digits after the decimal point if format="f", and the number of significant digits otherwise.

text.separator
Character string to use to separate numbers in the legend (default: "to").

text.less.than
Character string to use to translate "Less than" (which is the default).

text.or.more
Character string to use to translate "or more" (which is the default).

...
Other arguments passed on to formatC

legend.is.portrait
logical that determines whether the legend is in portrait mode (TRUE) or landscape (FALSE)
legend.hist
logical that determines whether a histogram is shown
legend.hist.title
title for the histogram. By default, one title is used for both the histogram and the normal legend.
legend.z
index value that determines the position of the legend element with respect to other legend elements. The legend elements are stacked according to their z values. The legend element with the lowest z value is placed on top.
legend.hist.z
index value that determines the position of the histogram legend element

Value

tmap-element

Details

Small multiples can be drawn in two ways: either by specifying the by argument in tm_facets, or by defining multiple variables in the aesthetic arguments. The aesthetic argument of tm_raster is col. In the latter case, the arguments, except for thres.poly, and the ones starting with legend., can be specified for small multiples as follows. If the argument normally only takes a single value, such as n, then a vector of those values can be specified, one for each small multiple. If the argument normally can take a vector, such as palette, then a list of those vectors (or values) can be specified, one for each small multiple.

See Also

vignette("tmap-nutshell")

Examples

Run this code
data(World, land, metro)

pal8 <- c("#33A02C", "#B2DF8A", "#FDBF6F", "#1F78B4", "#999999", "#E31A1C", "#E6E6E6", "#A6CEE3")
tm_shape(land, ylim = c(-88,88)) +
    tm_raster("cover_cls", palette = pal8, title="Global Land Cover") +
tm_shape(metro) + tm_dots(col="#E31A1C") +
tm_shape(World) +
    tm_borders(col="black") +
tm_layout(scale=.8, 
	legend.position = c("left","bottom"),
    legend.bg.color = "white", legend.bg.alpha=.2, 
    legend.frame="gray50")

## Not run: 
# pal20 <- c("#003200", "#3C9600", "#006E00", "#556E19", "#00C800", "#8CBE8C",
# 		   "#467864", "#B4E664", "#9BC832", "#EBFF64", "#F06432", "#9132E6",
# 		   "#E664E6", "#9B82E6", "#B4FEF0", "#646464", "#C8C8C8", "#FF0000",
# 		   "#FFFFFF", "#5ADCDC")
# tm_shape(land) +
# 	tm_raster("cover", max.categories = 20, palette=pal20, title="Global Land Cover") + 
# 	tm_layout(scale=.8, legend.position = c("left","bottom"))
# ## End(Not run)


tm_shape(land, ylim = c(-88,88)) +
    tm_raster("trees", palette = "Greens", title="Percent Tree Cover") +
tm_shape(World) +
    tm_borders() +
tm_layout(legend.position = c("left","bottom"), bg.color="lightblue")

# TIP: check out these examples in view mode, enabled with tmap_mode("view")

## Not run: 
# # doesn't work in view mode, since it does not support small multiples
# tm_shape(land) +
# 	tm_raster("black") +
# 	tm_facets(by="cover_cls")
# ## End(Not run)

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