simplevis (version 3.1.0)

ggplot_sf_col: Map of simple features in ggplot that is coloured.

Description

Map of simple features in ggplot that is coloured, but not facetted.

Usage

ggplot_sf_col(data, col_var, text_var = NULL, pal = NULL,
  pal_rev = FALSE, size_point = 1, size_line = 0.5, alpha = 1,
  borders = NULL, borders_behind = TRUE, borders_pal = "#7f7f7f",
  borders_size = 0.2, title = "[Title]", title_wrap = 70,
  subtitle = NULL, subtitle_wrap = 80, col_cuts = NULL,
  col_labels = NULL, col_labels_dp = 1, col_legend_ncol = NULL,
  col_legend_nrow = NULL, col_method = NULL, col_na = TRUE,
  col_title = "", col_title_wrap = 25, caption = NULL,
  caption_wrap = 80, font_family = "Helvetica",
  font_size_title = NULL, font_size_body = NULL, mobile = FALSE)

Arguments

data

A sf object with defined coordinate reference system. Required input.

col_var

Unquoted variable for points to be coloured by. Required input.

text_var

Unquoted variable to be used as a customised tooltip in combination with plotly::ggplotly(plot, tooltip = "text"). Defaults to NULL.

pal

Character vector of hex codes. Defaults to NULL, which selects the colorbrewer Set1 or viridis.

pal_rev

Reverses the palette. Defaults to FALSE.

size_point

Size of points. Defaults to 0.5.

size_line

Size of lines. Defaults to 0.5.

alpha

The opacity of polygons. Defaults to 0.9.

borders

A sf object as administrative boundaries (or coastlines). Defaults to no boundaries added. The rnaturalearth package is a useful source of country and state boundaries.

borders_behind

TRUE or FALSE as to whether the borders is to be behind the sf object defined in the data argument. Defaults to TRUE.

borders_pal

Colour of the borders. Defaults to "#7F7F7F".

borders_size

Size of the borders. Defaults to 0.2.

title

Title string. Defaults to "[Title]".

title_wrap

Number of characters to wrap the title to. Defaults to 70. Not applicable where mobile equals TRUE.

subtitle

Subtitle string. Defaults to "[Subtitle]".

subtitle_wrap

Number of characters to wrap the subtitle to. Defaults to 80. Not applicable where mobile equals TRUE.

col_cuts

A vector of cuts to colour a numeric variable. If "bin" is selected, the first number in the vector should be either -Inf or 0, and the final number Inf. If "quantile" is selected, the first number in the vector should be 0 and the final number should be 1. Defaults to quartiles.

col_labels

Adjust the colour scale labels through a vector.

col_labels_dp

Select the appropriate number of decimal places for numeric variable auto legend labels. Defaults to 1.

col_legend_ncol

The number of columns in the legend.

col_legend_nrow

The number of rows in the legend.

col_method

The method of colouring features, either "bin", "quantile" or "category." NULL results in "category", if categorical or "quantile" if numeric col_var. Note all numeric variables are cut to be inclusive of the min in the range, and exclusive of the max in the range (except for the final bucket which includes the highest value).

col_na

TRUE or FALSE of whether to show NA values of the colour variable. Defaults to TRUE.

col_title

Colour title string for the legend. Defaults to NULL.

col_title_wrap

Number of characters to wrap the colour title to. Defaults to 25. Not applicable where mobile equals TRUE.

caption

Caption title string. Defaults to NULL.

caption_wrap

Number of characters to wrap the caption to. Defaults to 80. Not applicable where mobile equals TRUE.

font_family

Font family to use. Defaults to "Helvetica".

font_size_title

Font size for the title text. Defaults to 11.

font_size_body

Font size for all text other than the title. Defaults to 10.

mobile

Whether the plot is to be displayed on a mobile device. Defaults to FALSE. If within an app with the mobileDetect function, then use mobile = input$isMobile.

Value

A ggplot object.

Examples

# NOT RUN {
ggplot_sf_col(data = example_sf_polygon, col_var = density, borders = nz,
     col_method = "bin", col_cuts = c(0, 10, 50, 100, 150, 200, Inf), col_labels_dp = 0,
     title = "Density, 2017")

ggplot_sf_col(data = example_sf_polygon, col_var = density, borders = nz,
     col_method = "quantile", col_cuts = c(0, 0.25, 0.5, 0.75, 0.95, 1),
     title = "Density, 2017")

 pal <- c("#4575B4", "#D3D3D3", "#D73027")

ggplot_sf_col(data = example_sf_point, col_var = trend_category, borders = nz, 
   pal = pal, col_method = "category",
   title = "Monitored trends, 2008-17")
# }