generate_connectedness: Generate pairwise connectedness between patches using a...

In ku-awdc/HexScape: Aggregation of Spatial Data into Discrete Patches using Simple Features

Generate pairwise connectedness between patches using a numerical approximation to integrating over distances between areas within two patches

Description

Generate pairwise connectedness between patches using a numerical approximation to integrating over distances between areas within two patches

Usage

generate_connectedness(
  patches,
  connectedness_fun,
  max_distance = NULL,
  grid_resolution = 50,
  sparse = TRUE,
  centroid_distance = TRUE,
  verbose = 1L
)

Arguments

patches	a data frame containing polygons and indexes, such as that created by generate_patches
connectedness_fun	a vectorised function mapping distances to connectedness i.e. a spatial kernal (TODO: may also take a second argument giving the bearing)
max_distance	the maximum distance beyond which connectedness is assumed to be negligable - default is to determine this automatically
grid_resolution	the resolution of the numerical approximation, in terms of the number of points to evaluate betweeen zero distance and max_distance
sparse	should a sparse data frame be returned, or a dense matrix?
centroid_distance	should additional information of connectedness based on centroids be returned (ignored if !isTRUE(sparse))
verbose	verbosity level (0 is silent, 2 is noisy)

ku-awdc/HexScape documentation built on Jan. 10, 2025, 5:24 p.m.