Virtual floristic list (VFL)

A list of species potentially occurring within a study site, in which a probability of occurrence is computed for every taxon

virtual_list(
  data_flor,
  site,
  year_study = NULL,
  excl_areas = NULL,
  CRS.new = 3035,
  tau,
  upperlimit = 20
)

Arguments

data_flor

dataframe having 5 columns, namely ‘Taxon’ (species identity), ‘Long’ (longitude coordinates), ‘Lat’ (latitude coordinates), ‘uncertainty’ (radius of uncertainty, in metres), and ‘year’ (year of the record)
site

a layer object of class ‘SpatialPolygonsDataFrame’ representing the study area, having CRS: +init=epsg:4326
year_study

the present-year in which you perform the analysis
excl_areas

a layer object of class ‘SpatialPolygonsDataFrame’ to delimit certainly unsuitable areas adjacent or within the study area, having CRS: +init=epsg:4326
CRS.new

the new Coordinate Reference System. Note: must be in a projected CRS. Default =
tau

percentual value of taxa loss in 100 years time-span (see below for further details)
upperlimit

maximum number of floristic records for a given taxon managed by the algorithm to compute the VFL. You can increase this number; a number between 20 and 30 is suggested. Then, the algorithm considers only the n most relevant, in terms of probability, occurrence records

Value

an object of class list with X slots:

  • "The virtual floristic list"A dataframe

  • "Statistics"A set of summarising statistics of the

Examples

if (FALSE) {

data(floratus)
data(park)
data(unsuitablezone)

virtual_list(data_flor = floratus, site = park, excl_areas = unsuitablezone, tau = 30, upperlimit = 25)

}