flysim: Range Estimation

In BMasinde/FlyingR: Simulation of Bird Flight Range

Range Estimation

Description

Practical range estimation of birds using methods in Pennycuick (1975) Mechanics of Flight. These methods are based on Breguet equations.

Usage

flysim(file, header = TRUE, sep = ",", quote = "\"", dec = ".",
             fill = TRUE, comment.char = "", ..., data = NULL,
             settings = list())

Arguments

file	Arguments for path to data.
header	Logical. If TRUE use first row as column headers
sep	separator
quote	The set of quoting characters. see read.csv
dec	The character used in the file for decimal points.
fill	See read.csv
comment.char	For more details see read.csv
...	further arguments see read.csv
data	A data frame.
settings	A list for re-defining constants. See details.

Details

The option *settings takes the arguments (those particularly required by this function)

• ppc: Profile power constant

• fed: Energy content of fuel from fat

• g: Acceleration due to gravity

• mce: Mechanical conversion efficiency [0,1]

• ipf: Induced power factor

• vcp: Ventilation and circulation power

• airDensity: Air density at cruising altitude

• bdc: Body drag coefficient

• alpha: Basal metabolism factors in passerines and non passerines

• delta: Basal metabolism factors in passerines and non passerines alpha*bodyMass^delta

Value

S3 class object with range estimates based on methods defined and settings used

• range estimates (Km)

• settings used

• data

Author(s)

Brian Masinde

Examples

flysim(data = birds, settings = list(fatEnergy = 3.89*10^7))
flysim(data = birds,  settings = list(airDensity = 0.905))

BMasinde/FlyingR documentation built on June 28, 2022, 8:30 p.m.