bayes_plot_map {bayesEO}

Plot labelled map

Description

Plot labelled map

Usage

bayes_plot_map(
  x,
  legend = NULL,
  palette = "Spectral",
  xmin = NULL,
  xmax = NULL,
  ymin = NULL,
  ymax = NULL,
  tmap_graticules_labels_size = 0.6,
  tmap_legend_title_size = 0.7,
  tmap_legend_text_size = 0.7,
  tmap_legend_bg_color = "white",
  tmap_legend_bg_alpha = 0.5,
  tmap_max_cells = 1e+06
)

Arguments

x

SpatRaster to be plotted.

legend

Named vector that associates labels to colors.

palette

A sequential RColorBrewer palette

xmin

Subset to be shown (xmin)

xmax

Subset to be shown (xmax)

ymin

Subset to be shown (ymin)

ymax

Subset to be shown (ymax)

tmap_graticules_labels_size

Size of graticules labels (default: 0.7)

tmap_legend_title_size

Size of legend title (default: 1.5)

tmap_legend_text_size

Size of legend text (default: 1.2)

tmap_legend_bg_color

Color of legend backgound (default: "white")

tmap_legend_bg_alpha

Transparency of legend background (default: 0.5)

tmap_max_cells

Maximum number of cells for tmap (default = 1e+06)

Value

A plot object

Author(s)

Gilberto Camara [e-mail]

Examples

if (bayes_run_examples()) {
    # Define location of a probability file
    data_dir <- system.file("/extdata/probs",
                package = "bayesEO")
    # list the file
    file <- list.files(data_dir)
    # build the full path
    probs_file <- paste0(data_dir, "/", file)
    # define labels
    labels <- c("Water", "ClearCut_Burn", "ClearCut_Soil",
                "ClearCut_Veg", "Forest", "Wetland")

    probs_image <- bayes_read_probs(probs_file, labels)
    # Label the probs image
    y <- bayes_label(x)
    # produce a map of the labelled image
    bayes_plot_map(y)
}