driversFrame: Models fire behaviour across ranged variables using species...
In pzylstra/frame_r: Fire Research and Modelling Environment

driversFrame

R Documentation

Models fire behaviour across ranged variables using species specific details

Description

Models fire behaviour across ranged variables using species specific details

Usage

driversFrame(
  Flora,
  Structure,
  default.species.params,
  a,
  db.path = "out_mc.db",
  replicates = 3,
  winds = seq(0, 60, 5),
  slopes = 0,
  DFMCs = 0.05,
  tAir = 30,
  Pm = 1,
  Ms = 0.01,
  Mr = 0.01,
  l = 0.1,
  testN = 10,
  updateProgress = NULL,
  threshold = 1
)

Arguments

`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
`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.
`default.species.params`
`a`	A unique identifier for the record being run
`db.path`	Name of the exported database
`replicates`
`winds`
`slopes`	List of slope values for testing
`DFMCs`	List of DFMC values for testing
`tAir`
`Pm`
`Ms`
`Mr`
`testN`
`updateProgress`	Progress bar for use in the dashboard
`leafVar`	Variation around input leaf dimensions, equivalent to l