lets.rangesize: Compute species' geographic range sizes

In letsR: Data Handling and Analysis in Macroecology

Compute species' geographic range sizes

Description

This function calculates species' range sizes from a PresenceAbsence object or directly from the species' shapefiles.

Usage

lets.rangesize(
  x,
  species_name = NULL,
  coordinates = "geographic",
  units = "cell"
)

Arguments

x	A PresenceAbsence or an SpatVector object.
species_name	Species names in the same order as in the SpatVector (only needed if x is a SpatVector).
coordinates	"geographical" or "planar". Indicate whether the shapefile has geographical or planar coordinates(only needed if x is a SpatVector).
units	"cell" or "squaremeter". Indicate if the size units wanted are in number of cells occupied or in square meters(only needed if x is a PresenceAbsence object).

Value

The result is a matrix with the range size of each species. If the range size accounts for the earth curvature (Yes or No) or its size unit may differ for each argument combination:

1) SpatVector & geographical = Square meters. Yes.

2) SpatVector & planar = Square meters. No.

3) PresenceAbsence & cell = number of cells. No.

4) PresenceAbsence & squaremeter = Square meters. Yes.

Author(s)

Bruno Vilela

Examples

## Not run: 
# SpatialPolygonsDataFrame & geographical
data(Phyllomedusa)
rangesize <- lets.rangesize(x = Phyllomedusa,
                            coordinates = "geographic")

# SpatialPolygonsDataFrame & planar
rangesize2 <- lets.rangesize(x = Phyllomedusa,
                             coordinates = "planar")

# PresenceAbsence & cell
data(PAM)
rangesize3 <- lets.rangesize(x = PAM,
                             units = "cell")

# PresenceAbsence & squaremeter
rangesize4 <- lets.rangesize(x = PAM,
                             units = "squaremeter")

## End(Not run)

letsR documentation built on Nov. 23, 2023, 9:07 a.m.