prepareforest: Title
In Riodinino/TROLLmsc: TROLL Master Thesis Analyses

Description Usage Arguments

Title

prepareforest(data, year = 1992, censuscol = "campagne", label = "sp_lab",
  speciescol = "species", speciestraits, replacement = "local",
  i_arbre = "i_arbre", X = "X", Y = "Y", dbh = "dbh", milimeters = T,
  plotcol = "n_parcelle")

`data`	data.frame ; Basically the censuses for the plot you want to work on.
`year`	Integer. The year corresponding to your simulation startpoint.
`censuscol`	Character. Name of the column indicating the censuses years.
`label`	Character.Name of the column indicating species labels, if you have defined them.
`speciescol`	Character. The name of the column indicating species identity. Should be of the form Genus_species matching case and separator.
`speciestraits`	Data.frame. The table containing your species-specific traits that will be used to parametrise TROLL.
`replacement`	Character. Procedure you choose to replace individuals belonging to missing species.
`X`	Character. The name of the column containing X coordinates. At the plot scale, don't put an UTM or other shit !
`Y`	Character. The name of the column containing Y coordinates. At the plot scale, don't put an UTM or other shit !
`dbh`	Character. Name of the column containing the diameters at breast height. Circumferences are handler in the "extractplot" function.
`milimeters`	Logical. Indicates whether the diameters are in milimeters or not. Defaults to FALSE as this unit is unusual in most censuses.