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tmap (version 1.0)

tm_raster: Draw a raster

Description

Creates a tmap-element that draws a raster. Either a fixed color is used, or a color palette is mapped to a data variable. By default, a divering color palette is used for numeric variables and a qualitative palette for categorical variables.

Usage

tm_raster(col = "grey70", alpha = NA, palette = NULL, n = 5,
  style = "pretty", breaks = NULL, labels = NULL,
  auto.palette.mapping = TRUE, contrast = 1, max.categories = 12,
  colorNA = NA, textNA = "Missing", text_separator = "to",
  text_less_than = "Less than", text_or_more = "or more", title = NA,
  legend.is.portrait = TRUE, legend.hist = FALSE, legend.hist.title = NA,
  legend.z = NA, legend.hist.z = NA)

Arguments

col
either a single color value or the name of a data variable that is contained in shp. In the latter case, either the data variable contains color values, or values (numeric or categorical) that will be depicted by a color palette (see pa
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. By default, "RdYlGn" is taken for numeric variables and "Dark2" for categorical variables.
n
preferred number of classes (in case col is a numeric variable)
style
method to cut the color scale (in case col is a numeric variable): e.g. "fixed", "equal", "pretty", "quantile", or "kmeans". See the details in classIntervals.
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 respect
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 t
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, then levels are combined.
colorNA
color used for missing values
textNA
text used for missing values. Use NA to omit text for missing values in the legend
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).
title
title of the legend element
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

See Also

../doc/tmap-nutshell.html{vignette("tmap-nutshell")}

Examples

Run this code
data(land)
data(World)

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_World(inner.margins=0, legend.position = c("left","bottom"))

pal8 <- c("#33A02C", "#B2DF8A", "#FDBF6F", "#1F78B4", "#999999", "#E31A1C", "#E6E6E6", "#A6CEE3")
tm_shape(land, ylim = c(-88,88), relative=FALSE) +
    tm_raster("cover_cls", palette = pal8, title="Global Land Cover") +
tm_shape(World) +
    tm_borders() +
tm_layout_World(inner.margins=0,
    legend.position = c("left","bottom"),
    legend.bg.color = "white", legend.bg.alpha=.2, 
    legend.frame="gray50", legend.width=.2)

tm_shape(land, ylim = c(-88,88), relative=FALSE) +
    tm_raster("trees", palette = "Greens", title="Percent Tree Cover") +
tm_shape(World) +
    tm_borders() +
tm_layout(inner.margins=0, 
    legend.position = c("left","bottom"), bg.color="lightblue")

tm_shape(land) +
    tm_raster("black") +
    tm_facets(by="cover_cls") +
tm_layout(inner.margins=0, 
    title.position = c("left", "bottom"), title.bg.color="gray80")

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