sequentialExtrapolate: Sequential extrapolation estimate

In redlistr: Tools for the IUCN Red List of Ecosystems and Species

Sequential extrapolation estimate

Description

sequentialExtrapolate uses rates of decline from getDeclineStats and generates a sequence of estimates at regular time-steps. Useful for generating a sequence for plotting graphs.

Usage

sequentialExtrapolate(A.t1, year.t1, nYears, ARD = NA, PRD = NA, ARC = NA)

Arguments

A.t1	Area at time t1
year.t1	Year of time t1
nYears	Number of years since t1 for prediction. Use negative values for backcasting
ARD	Absolute rate of decline
PRD	Proportional rate of decline
ARC	Annual rate of change

Value

A dataframe with the forecast year, and a combination of:

• Sequence of values as extrapolated with absolute rate of decline (ARD)

• Sequence of values as extrapolated with proportional rate of decline (PRD)

• Sequence of values as extrapolated with annual rate of change (ARC)

Author(s)

Calvin Lee [e-mail]

References

Bland, L.M., Keith, D.A., Miller, R.M., Murray, N.J. and Rodriguez, J.P. (eds.) 2016. Guidelines for the application of IUCN Red List of Ecosystems Categories and Criteria, Version 1.0. Gland, Switzerland: IUCN. ix + 94pp. Available at the following web site: https://iucnrle.org/

See Also

Other change_functions: extrapolateEstimate(), futureAreaEstimate()

Examples

a.r1 <- 23.55
a.r2 <- 15.79
decline.stats <- getDeclineStats(a.r1, a.r2, year.t1 = 1990, year.t2 = 2012,
                                 methods = 'PRD')
a.2040.PRD.seq <- sequentialExtrapolate(a.r1, a.r2, year.t1 = 1990, nYears = 50,
                                        PRD = decline.stats$PRD)

redlistr documentation built on Oct. 3, 2023, 9:07 a.m.