discretise_habitat: Title

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

Title

Description

Title

Usage

discretise_habitat(
  habitat,
  max_size = as_units(5, "km^2"),
  min_size = as_units(0.5, "km^2"),
  patch_density = as_units(1, "1/km^2"),
  raster_size = as_units(0.05, "km^2"),
  raster_shape = c("hexagons", "squares"),
  h_adj = 0.5,
  point_density = as_units(100, "1/km^2"),
  verbose = 2L
)

Arguments

habitat	an sf data frame with active geometry column and Density column
max_size	maximum (approximate) size of output patches
min_size	minumum (approxiamte) size of output patches
patch_density	assumed density of output patches in terms of carrying capacity per km^2
raster_size	size of hexagons/squares used for rasterisation
raster_shape	one of hexagons or squares
h_adj	adjustment of the bandwidth used by MASS::kde2d()
point_density	density of points used for kde2d and k-means clustering
verbose	verbocity setting (0 = silent)

Examples

Then do a kernal density estimation:
The x/y dimensions depend on square vs hexagon:
TODO: the value chosen for h affects the extent of smoothing (currently half the default value)
TODO: for hexagons scale y h so that it is equivalent to x h i.e. accounts for aspect ratio

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