rangeSize: Calculate common metrics of spatial distribution

In divvy: Spatial Subsampling of Biodiversity Occurrence Data

Calculate common metrics of spatial distribution

Description

Calculate occurrence count, centroid coordinates, latitudinal range (degrees), great circle distance (km), mean pairwise distance (km), and summed minimum spanning tree length (km) for spatial point coordinates.

Usage

rangeSize(coords, crs = "epsg:4326")

Arguments

coords	2-column data.frame or matrix containing x- and y-coordinates, respectively (e.g. longitude and latitude).
crs	Coordinate reference system as a GDAL text string, EPSG code, or object of class crs. Default is latitude-longitude (EPSG:4326).

Details

Coordinates and their distances are computed with respect to the original coordinate reference system if supplied, except in calculation of latitudinal range, for which projected coordinates are transformed to geodetic ones. If crs is unspecified, by default points are assumed to be given in latitude-longitude and distances are calculated with spherical geometry.

Duplicate coordinates will be removed. If a single unique point is supplied, all distance measures returned will be NA.

Value

A 1-row, 7-column matrix

Examples

# generate 20 occurrences for a pseudo-species
# centred on Yellowstone National Park (latitude-longitude)
# normally distributed with a standard deviation ~110 km
set.seed(2)
x <- rnorm(20, 110.5885, 2)
y <- rnorm(20,  44.4280, 1)
pts <- cbind(x,y)

rangeSize(pts)

divvy documentation built on April 14, 2025, 9:08 a.m.