moin_cult_network: moin_cult_network

In CRC1266-A2/moin: Modelling Interactions

Description

Creates a network based on the moin_network function and combines the adjacency matrix with the cultural distance matrix.

Usage

moin_cult_network(nodes_x, nodes_y, nodes_id, features, type_col,
  pre_size = 1, method = "euclidean", network_method = "iom",
  par = NULL, mode = "undirected", crs = NA, plotted = FALSE,
  coords_x = "nodes_x", coords_y = "nodes_y")

Arguments

nodes_x	a vector containing metric x coordinates of nodes
nodes_y	a vector containing metric y coordinates of nodes
nodes_id	a vector containing ID for nodes
features	a data.frame containing metric x and y coordinates of features, and feature type. Coordinates are expected to be the first two columns.
type_col	a character string naming the columname containing feature types.
pre_size	numeric, amount of letters, e.g. characters before typenumbers. Defaults to 1.
method	character string, the distance measure to be used ("euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski"). Defaults to euclidean distance.
network_method	type of model graph to be produced, either a Maximum Distance Model ("mdm"), a Proximal Point Analysis ("ppa") or a full graph as base for a Intervening Opportunity Model ("iom"); defaults to "iom" i.e. a full graph.
par	an integer indicating the distance threshold value D for method "mdm" and the neighbour rank k for "ppa" .
mode	a character string; default is undirected. Directed networks are not supported!
crs	coordinate reference system: integer with the EPSG code, or character with proj4string.
plotted	a Boolean operator defining whether a plot should be created. Defaults to FALSE. Edge widths are scaled by maximum distance values and enlarged by factor 2.
coords_x	a character string; defines the column name of the X-coordinate in case input is a data.frame; Defaults to NA.
coords_y	a character string; defines the column name of the Y-coordinate in case input is a data.frame; Defaults to NA.

Value

a list containing a graph object of classes tidygraph ("tbl_graph") resp. igraph ("igraph") and the cultural distance matrix.

Author(s)

Wolfgang Hamer <[e-mail]>

Chiara Girotto <[e-mail]>

Hendrik Raese <[e-mail]>

Carolin Tietze <[e-mail]>

Michael Bilger <[e-mail]>

Examples

# Example mdm network
set.seed(1234)

moin_cult_network(
nodes_x=sample(3433806:3581396, 10, replace = TRUE),
nodes_y=sample(5286004:5484972, 10, replace = TRUE), 
nodes_id=c(1:10), 
features=data.frame(x=sample(3433806:3581396, 100, replace = TRUE),
y=sample(5286004:5484972, 100, replace = TRUE),
type=paste0("B", c(rep(1, 5), rep(2,15), sample(11:19, 20, replace = TRUE), 
sample(111:119, 30, replace = TRUE), sample(1111:1115, 30, replace = TRUE)))
), type_col="type",
pre_size=1, method = "euclidean",
plotted = TRUE, network_method ="mdm",
par = 50000, mode = "undirected", crs = NA)

# Example ppa network 
set.seed(1234)
moin_cult_network(nodes_x=sample(3433806:3581396, 10, replace = TRUE),
nodes_y=sample(5286004:5484972, 10, replace = TRUE), 
nodes_id=c(1:10), 
features=data.frame(
x=sample(3433806:3581396, 100, replace = TRUE),
y=sample(5286004:5484972, 100, replace = TRUE),
type=paste0("B", c(rep(1, 5), rep(2,15), sample(11:19, 20, replace = TRUE), 
sample(111:119, 30, replace = TRUE), sample(1111:1115, 30, replace = TRUE)))
), type_col="type" ,
pre_size=1, method = "euclidean",
plotted = TRUE,network_method ="ppa",
par = 3, mode = "undirected", crs = NA)

CRC1266-A2/moin documentation built on May 7, 2019, 8:56 p.m.