Description Usage Arguments Value Author(s) References See Also Examples

View source: R/change_functions.R

`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.

1 2 | ```
sequentialExtrapolate(A.t1, year.t1, nYears, ARD = NA, PRD = NA,
ARC = NA)
``` |

`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 |

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)

Calvin Lee calvinkflee@gmail.com

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/

Other change_functions: `extrapolateEstimate`

,
`futureAreaEstimate`

1 2 3 4 5 6 | ```
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)
``` |

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