View source: R/change_functions.R
extrapolateEstimate | R Documentation |
extrapolateEstimate
uses rates of decline from getDeclineStats
to extrapolate estimates to a given time
extrapolateEstimate(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:
Values as extrapolated with absolute rate of decline (ARD)
Values as extrapolated with proportional rate of decline (PRD)
Values as extrapolated with annual rate of change (ARC)
Nicholas Murray murr.nick@gmail.com, 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:
futureAreaEstimate()
,
sequentialExtrapolate()
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 <- extrapolateEstimate(a.r1, a.r2, year.t1 = 1990, nYears = 50,
PRD = decline.stats$PRD)
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