fwtraits (version 1.0.0)

fw_fdcompute: Compute the functional diversity indices and community weighted means.

Description

Compute the functional diversity indices and community weighted means.

Usage

fw_fdcompute(
  fwdata,
  sitesdata,
  species,
  sites = NULL,
  dist = 1000,
  abund = NULL,
  FD = TRUE,
  dummy = TRUE
)

Value

dataframe

Arguments

fwdata

list A list from the fw_fetchdata function is the only data type accepted.

sitesdata

dataframe Dataframe with sites for which functional diversity and community weighted means indices will be computed for.

species

string The species column in the sitesdata.

sites

string The sites column in the sitesdata. If the sites are not provided by the geometry column, then sites can be auto generated by clustering closely separated records into sites.

dist

integer The distance used to cluster points as sites. The default is 1000.

abund

string Column with abundance data. If not provided, then only functional richness can be computed.

FD

logical To indicate whether to compute functional richness or community weighted means. The default is TRUE.

dummy

logical To form fuzzy code for the categorical traits. Default is TRUE.

Examples

if (FALSE) {

set.seed(1135)
data('speciesdata')
speciesdata$abundance <- rnorm(n = nrow(speciesdata), 4.3, 1.2)

spgeo1 <- speciesdata |>
 sf::st_as_sf(coords = c('decimalLongitude', 'decimalLatitude'), crs = sf::st_crs(4326))

sptraits <- fw_fetchdata(data = speciesdata,
                        ecoparams = c('rheophily habitat', 'spawning habitat',
                                      'feeding diet adult'),
                        taxonomic_column = 'scientificName',
                        organismgroup = 'fi')
#functional richness
testdata5 <- fw_fdcompute(fwdata = sptraits,
                         sitesdata = speciesdata,
                         sites = 'waterBody',
                         species = 'scientificName',
                         FD = TRUE)

}