burnr (version 0.6.1)

intervals: Calculate fire intervals from a composite

Description

Calculate fire intervals from a composite

Usage

intervals(comp, densfun = "weibull")

Arguments

comp

A composite instance, usually output from composite(). Should contain only one series.

densfun

String giving desired distribution to fit. Either "weibull" or "lognormal". Default is "weibull".

Value

An intervals object. intervals have components:

• "intervals" an integer vector giving the actual fire intervals.

• "fitdistr" a fitdistr object from MASS::fitdistr() representing the density function fit.

• "densfun" a string giving the name of the density function used.

• "kstest" an htest object from stats::ks.test() giving the result of a one-sample Kolmogorov-Smirnov test.

• "shapirotest" an htest object from stats::shapiro.test() giving the result of a Shapiro-Wilk normality test.

• "comp_name" a string giving the name of the interval's input composite.

• "event_range" an integer vector giving the year range (min, max) of events used to create this intervals.

See Also

• composite() to create a composite object.

• mean.intervals() gets mean fire interval.

• median.intervals() gets median fire interval.

• quantile.intervals() get fit distribution quantiles.

• plot_intervals_dist() plots intervals.

• min.intervals() gives the minimum fire interval.

• max.intervals() gives the maximum fire interval.

• print.intervals() prints common fire-interval summary statistics.

Examples

# NOT RUN {
data(pgm)
interv <- intervals(composite(pgm))
print(interv)

mean(interv) # Mean interval

# Now fit log-normal distribution instead of Weibull.
intervals(composite(pgm), densfun = "lognormal")
# }
# NOT RUN {
# Boxplot of fire interval distribution.
boxplot(intervals(composite(pgm))$intervals)
# }
# NOT RUN {
# }