rarify: Rarify Depth Data

In rLakeHabitat: Interpolate Bathymetry and Quantify Physical Aquatic Habitat

Rarify Depth Data

Description

Reduce density of mapped depth data to improve accuracy and computation time.

Usage

rarify(outline, df, x, y, z, res = 10, crsUnits = "dd")

Arguments

outline	shapefile outline of a waterbody
df	dataframe of coordinates and depths for a given waterbody
x	character giving name of longitude column
y	character giving name of latitude column
z	character giving name of depth column
res	number describing by how much to increase point resolution, default = 10
crsUnits	character describing CRS units of input outline, either "dd" (decimal degrees) or "m" (meters), default = "dd"

Value

dataframe of rarified xyz coordinates

Author(s)

Sean Bertalot & Tristan Blechinger, Department of Zoology & Physiology, University of Wyoming

Examples

#load test data
outline <- terra::vect(system.file("extdata", "example_outline.shp", package = 'rLakeHabitat'))
depths <- read.csv(system.file("extdata", "example_depths.csv", package = 'rLakeHabitat'))
#run function
rarify(outline = outline, df = depths, x = "x", y = "y", z = "z", res = 100, crsUnits = "dd")

rLakeHabitat documentation built on April 16, 2025, 1:10 a.m.