frameSpread: Finds distance of fire spread for a part of a landscape
In pzylstra/frame_r: Fire Research and Modelling Environment

frameSpread

R Documentation

Finds distance of fire spread for a part of a landscape

Description

Finds distance of fire spread for a part of a landscape

Usage

frameSpread(
  base.params,
  weather,
  a,
  igLoc = -1,
  t = 1,
  hourStep = 3,
  strikeTime = 1,
  Extinction = 0.15,
  fReach = 0,
  fEdge = 1,
  fireArea = 100,
  wHeading = 0,
  firelineW = 1,
  slopeM = 6.7,
  slopeSD = 4.9,
  slopeLength = 391,
  mRiver = 0.38,
  lRiver = 0.06,
  Test = 80,
  sensitive = 1,
  girdleH,
  woodDensity = 1000,
  barkDensity = 300,
  bark = 0.04,
  comBark = 700,
  resBark = 0,
  phloem = 0.01,
  moisture = 0.6,
  bMoisture = 0.5,
  FPC = 0.5,
  distance = 2,
  trail = 1000,
  var = 10,
  Altitude = 200,
  vAir500 = 2,
  necT = 60,
  surfDecl = 10,
  minR = 1,
  targSp = "c",
  testN = 5,
  Strata,
  Species,
  Flora,
  Structure,
  l = 0.1,
  Ms = 0.01,
  Pm = 1,
  Mr = 1.5
)

Arguments

`base.params`	Parameter file
`weather`	Formatted weather dataset
`a`	A unique identifier for the record being run
`igLoc`	Ignition location between -1 (base of sunny slope), 0 (ridgeline) & 1 (base of shade slope)
`t`	Record number in the weather set for which tio model
`hourStep`	Number of hours for which to model
`strikeTime`
`Extinction`	Extinction litter moisture content (Percent ODW)
`fReach`	Initial flame reach (m)
`fEdge`	Fire edge: Head = 1, Flank = 0, Tail = -1
`fireArea`
`wHeading`	Wind direction in relation to slope exposure: Up sun slope = 1, cross slope = 0, down sun slope = -1
`firelineW`
`slopeM`	Mean slope
`slopeSD`	Slope standard deviation
`slopeLength`	Distance from ridgeline to river
`mRiver`	Likelihood of encountering a medium river
`lRiver`	Likelihood of encountering a large river
`Test`
`sensitive`
`girdleH`
`woodDensity`
`barkDensity`
`bark`
`comBark`
`resBark`
`phloem`
`moisture`
`bMoisture`
`FPC`
`distance`
`trail`
`var`
`Altitude`
`vAir500`
`necT`
`surfDecl`
`minR`
`targSp`
`testN`
`Strata`
`Species`	Species descriptor table output by the function 'species'
`Flora`	A dataframe with the fields: record - a unique, consecutively numbered identifier per site site - A name for the site species - the name of the species, which will call trait data from 'default.species.params' stratum - numeric value from 1 to 4, counting from lowest stratum comp - Percent composition of that species in the stratum. If absent, all species will be considered equally. base - base height of plant crowns (m) he - he height of plant crowns (m) ht - ht height of plant crowns (m) top - top height of plant crowns (m) w - width of plant crowns (m) Hs - standard deviation of the top height of plant crowns (m) Hr - range of the top height of plant crowns (m) weight - weight in t/ha of fine dead organic material forming the surface and suspNS layers diameter - mean diameter of surface and suspNS litter in m
`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 TRUE, FALSE, or blank, where the outcome will be decided by the relative stratum heights. nsR, eR, mR, cR. Species richness (number of species) in each stratum
`l`
`Ms`
`Pm`
`Mr`