Spatial dataframe to showcase asymmetrical fragmentation

An sf dataframe containing a geometry column column with locations of sampled animals over 2 years.

Usage

asym_split_sf

Format

A dataframe with 100 rows and 4 columns.

year

A column containing the year animals were sampled

random

A column containing data but not relevant to these functions

id

The name of the animal sampled

geometry

An sf geometry column storing spatial point coordinates for each sampled individual.

Source

Created by Nicola Love, by creating 3 bivariate normal distributions generated with MASS::mvrnorm(), then converted to an sf dataframe with unprojected geographic coordinates (EPSG:4326). All three distributions had a standard deviation of √.001. In year 1, the distribution was centered at c(29.285,-22.373) in the Venetia-Limpopo Nature Reserve. The two distributions in year 2 were centered at the northern and southern ends of the reserve: c(29.285,-22.15) and c(29.285,-22.45), respectively.

Examples

data(asym_split_sf)