| migrate {flying} | R Documentation |
Range Estimation
Description
Practical range estimation of birds using methods in Pennycuick (1998) and Pennycuick (2008).
Usage
migrate(file, header = TRUE, sep = ",", quote = "\"", dec = ".",
fill = TRUE, comment.char = "", ...,
data = NULL, settings = list(), method = "cmm",
speed_control = "constant_speed", protein_met = 0)
Arguments
file |
The name of the file which the data are to read from |
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 |
method |
Methods for fuel management |
speed_control |
One of two speed control methods. By default constant_speed is used. vvmp_constant is the alternative. The former holds the true airspeed constant while the latter holds the ratio of true airspeed and minimum power speed constant |
protein_met |
Percentage of energy attributed to protein and metabolism |
Details
The option *control takes the folowing arguments
ppc: Profile power constant
eFat: Energy content of fuel from fat
eProtein: Energy content of protein
g: Accelaration 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
invPower
speedRatio: True air speed to minimum power speed ratio
muscDensity: Density of the flight muscles.
phr: Protein hydration ratio
Value
S3 class object with range estimates based on methods defined and settings
data as a data frame
range estimates (Km)
fuel
settings (named vector)
Author(s)
Brian Masinde
Examples
migrate(data = birds, settings = list(eFat = 3.89*10^7))
migrate(data = birds, method = "cmm", settings = list(airDensity = 0.905))