probFire_Frame: Models probabilistic fire behaviour using species-specific...
In pzylstra/frame_r: Fire Research and Modelling Environment

probFire_Frame

R Documentation

Models probabilistic fire behaviour using species-specific variability from FRaME tables

Description

Models probabilistic fire behaviour using species-specific variability from FRaME tables

Usage

probFire_Frame(
  base.params,
  Structure,
  Flora,
  a,
  db.path = "out_mc.db",
  slope,
  slopeSD,
  slopeRange,
  temp,
  tempSD,
  tempRange,
  DFMC,
  DFMCSD,
  DFMCRange,
  wind,
  windSD,
  windRange,
  jitters = 50,
  l = 0.1,
  Ms = 0.01,
  Pm = 1,
  Mr = 1.001,
  updateProgress = NULL,
  testN = 10,
  threshold = 1
)

Arguments

`base.params`	Input parameter file
`Structure`	A dataframe with the fields: record - a unique, consecutively numbered identifier per site site - a unique identifier per site NS, El, Mid & Can - the mean separation between plants (m) per stratum ns_e, ns_m, e_m, e_c, m_c - Logical field indicating whether plants in the stratum on the left grow directly beneath those in the stratum on the right. Acceptable values are t, f, or blank, where the outcome will be decided by the relative stratum heights. nsR, eR, mR, cR - maximum species richness recorded for each stratum
`Flora`	A dataframe with the fields: record - a unique, consecutively numbered identifier per site species - the name of the species, which will call trait data from 'default.species.params' moisture - the moisture content of the species in whole numbers (eg 1 for 100 stratum - numeric value from 1 to 4, counting from lowest stratum comp - hc, he, ht, hp & w - canopy dimensions for that species (m) clump - mean ratio of clump diameter to crown diameter openness - proportion of plant canopy occupied by gaps between clumps
`a`
`db.path`	Name of the exported database
`slope`	Mean slope (deg)
`slopeSD`	Standard deviation of slope
`slopeRange`	Truncates variability by +/- mean * range
`temp`	Mean ambient temperature (deg.C)
`tempSD`	Standard deviation of temp
`tempRange`	Truncates variability by +/- mean * range
`DFMC`	Mean DFMC (Percent ODW)
`DFMCSD`	Standard deviation of DFMC
`DFMCRange`	Truncates variability by +/- mean * range
`wind`	Mean wind velocity (km/h)
`windSD`	Standard deviation of wind velocity
`windRange`	Truncates variability by +/- mean * range
`jitters`	Number of repetitions for each row in the weather table
`l`	Variation around input leaf dimensions
`Ms`	Standard deviation of LFMC
`Pm`	Multiplier of mean LFMC
`Mr`	Truncates LFMC variability by +/- Mr * LFMC
`updateProgress`	Progress bar for use in the dashboard
`testN`
`threshold`	Minimum allowable height for canopy (m)