plot_mst: Plot Multiscalar Typology (3 deviations)

In MTA: Multiscalar Territorial Analysis

Plot Multiscalar Typology (3 deviations)

Description

Vizualizing mst for selected territorial units.

Usage

plot_mst(
  x,
  gdevrel,
  tdevrel,
  sdevrel,
  legend.lab = NULL,
  lib.var,
  lib.val,
  cex.lab = 1,
  cex.axis = 0.8,
  cex.names = 0.8
)

Arguments

x	a sf object or a dataframe including 3 pre-calculated deviations.
gdevrel	name of the general relative deviation variable in x.
tdevrel	name of the territorial relative deviation variable in x.
sdevrel	name of the the spatial relative deviation variable in x.
legend.lab	label for explaining the plot (default = "G: general, T: territorial, S: spatial (relative deviations, average = 100)".
lib.var	column name of x including territorial units name/code we want to display on the plot.
lib.val	a vector of territorial units included in lib.label we want to display on the plot.
cex.lab	size of the axis legend label text (default = 1).
cex.axis	size of the tick label numbers (default = 0.8).
cex.names	size of the territorial units labels if selected (default 0.8).

Value

A barplot displaying the position for selected territorial units on three territorial deviation. Y axis is expressed in logarithm (25 being index 80).

Examples

# Load data
library(sf)
com <- st_read(system.file("metroparis.gpkg", package = "MTA"), layer = "com", quiet = TRUE)

# Prerequisite  - Compute the 3 relative deviations
com$gdev <- gdev(x = com, var1 = "INC", var2 = "TH")
com$tdev <- tdev(x = com, var1 = "INC", var2 = "TH", key = "EPT")
com$sdev <- sdev(x = com, var1 = "INC", var2 = "TH", order = 1)

# Synthesis barplot (3 territorial units)
plot_mst(x = com, gdevrel = "gdev", tdevrel = "tdev", sdevrel = "sdev", lib.var = "LIBCOM",
         lib.val = c("Neuilly-sur-Seine", "Clichy-sous-Bois", "Les Lilas"))

MTA documentation built on Nov. 2, 2023, 5:06 p.m.