redlistr (version 1.0.4)

sequentialExtrapolate: 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)

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)

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

Author

Calvin Lee

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)