CreateHomeRangeKernelsInterpolate: Create homerange kernels based on interpolating empiricial...

In Blakemassey/baear: Functions for Bald Eagle Data Manipulation and Model Fitting

Description

Creates RasterLayers of homerange kernels based on home centroids

Usage

CreateHomeRangeKernelsInterpolate(df_all, df_home, base, max_r, id,
  name, min_prob, output_dir, write_homerange)

Arguments

df_all	dataframe of all homerange centroids
df_home	dataframe of homerange centroids to calculate homerange kernels (these must be a subset of the df_all dataframe), Default is to use 'df_all' dataframe
base	base Raster that sets the projection, extent, and dimensions of the study area
max_r	maximum radius to calculate the homerange raster from each df_home centroid
id	column name of df_home that identifies the homerange.
name	column name of df_home that identifies the name of the homerange and is used to write the name of the .tif file. Default is 'id', which sets the names to df_home row number if 'id' is NULL.
min_prob	numeric, minimum probablity threshold; all probabilities below this value will be rounded to zero. Default is 0.
output_dir	directory for output files (distance, homerange)
write_distance	logical, write distance range raster to file. Default is FALSE
write_homerange	logical, write home range raster to file. Default is FALSE

Details

Used inside AddHomeRangeKernelsBAEA()

Value

A list containing homerange kernel Rasters for all the df_home centroids

Blakemassey/baear documentation built on Dec. 25, 2021, 9:48 a.m.