map_nodal_flows: Nodal flows map

In rCarto/flows: Selections on Flow Matrices, Statistics on Selected Flows, Map and Graph Visualisations

Nodal flows map

Description

Perform a Nystuen & Dacey's dominants, or nodal, flows analysis and plot a dominant flows map.

Usage

map_nodal_flows(
  mat,
  x,
  inches = 0.15,
  col_node = c("red", "orange", "yellow"),
  breaks = "equal",
  nbreaks = 4,
  lwd = c(1, 5, 10, 20),
  col_flow = "grey20",
  leg_node = c("Dominant", "Intermediate", "Dominated",
    "Size proportional\nto sum of inflows"),
  leg_flow = "Flow intensity",
  leg_pos_flow = "topleft",
  leg_pos_node = "topright",
  add = FALSE
)

Arguments

mat	A square matrix of flows.
x	An sf object, the first column contains a unique identifier matching mat column and row names.
inches	Size of the largest circle.
col_node	Node colors, a vector of 3 colors.
breaks	How to classify flows, either a numeric vector with the actual breaks, or a classification method name (see mf_get_breaks())
nbreaks	Number of classes.
lwd	Flows widths
col_flow	Flows color
leg_node	Labels for the nodes legend
leg_flow	Label for the flows legend
leg_pos_flow	Position of the flows legend
leg_pos_node	Position of the node legend
add	A boolean, if TRUE, add the layer to an existing plot.

Value

A list of sf objects is returned. The first element contains the nodes with their weight and classification (dominant, intermediary, dominated). The second element contains the flows (i, j, fij)

Examples

library(sf)
library(mapsf)
nav <- read.csv(system.file("csv/nav.csv", package = "flows"))
mat <- prepare_mat(x = nav, i = "i", j = "j", fij = "fij")
UA <- st_read(system.file("gpkg/GE.gpkg", package = "flows"), layer = "urban_area")
GE <- st_read(system.file("gpkg/GE.gpkg", package = "flows"), layer = "region")
mf_map(GE)
map_nodal_flows(
  mat = mat, x = UA,
  col_node = c("red", "orange", "yellow"),
  col_flow = "grey30",
  breaks = c(4, 100, 1000, 2500, 8655),
  lwd = c(1, 4, 8, 16), add = TRUE
)
mf_title("Dominant flows")

rCarto/flows documentation built on May 10, 2024, 11:38 a.m.