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Last data update: 2014.03.03

R: Compute species' geographic range sizes

lets.rangesize

R Documentation

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 = x@data[, 1], coordinates = "geographic",
  units = "cell")

Arguments

`x`	A `PresenceAbsence` object or an `SpatialPolygonsDataFrame`.
`species_name`	Species names in the same order as in the `SpatialPolygonsDataFrame` (only needed if x is a `SpatialPolygonsDataFrame`).
`coordinates`	"geographical" or "planar". Indicate wheter the shapefile has geographical or planar coordinates(only needed if x is a `SpatialPolygonsDataFrame`).
`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) SpatialPolygonsDataFrame & geographical = Square meters. Yes.

2) SpatialPolygonsDataFrame & planar = same units as the coordinates. 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)