Ignorance map

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

ignorance_map(
  data_flor,
  site,
  year_study = NULL,
  excl_areas = NULL,
  CRS.new = 3035,
  tau,
  cellsize
)

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 a projected CRS. Default = 3035.
tau

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

the resolution of the ignorance map (in meters)

Value

A list with 4 objects:

  • "MFI" the Map of Floristic Ignorance

  • "RICH" the corresponding map computed without taking into account spatial and temporal uncertainties

  • "uncertainties" the corresponding map computed without taking into account spatial and temporal uncertainties

  • "Statistics" a table summarising the settings used to draft the Map of Florstic Ignorance

Examples

if (FALSE) {
data(floratus)
data(park)
data(unsuitablezone)

ignorance_map(data_flor = floratus, excl_areas = unsuitablezone, site = park, tau = 20, cellsize = 2000)
}