meteSSF: meteSSF

In cmerow/meteR: Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE)

Description

meteSSF calculates the “spatial structure function” Π(n) (analogous to the ecosystem structure function). From the SSF the spatial abundance distribution can be calculated.

Usage

meteSSF(spp, sppID, abund, row, col, x, y, n0 = sum(abund), A, A0)

Arguments

spp	A vector of species names
sppID	A character giving the name of the desired species (as it appears in ‘spp’)
abund	A vector of abundances
row	A vector of row IDs for each observation
col	A vector of column IDs for each observation
x	A vector of x coordinates for each observation
y	A vector of y coordinates for each observation
n0	Total abundance in area A0
A	The area at which abundances were recorded
A0	Total study area

Details

Uses either data or state variables to calculate the Spatial Structure Function (SSF). Uses internal code to determine when computation-saving approximations can be safely made

Value

An object of class meteSSF with elements

data

The data used to construct the SSF

La

Vector of Lagrange multipliers

La.info

Termination information from optimization procedure

state.var

State variables used to constrain entropy maximization

Author(s)

Andy Rominger <[e-mail]>, Cory Merow

References

Harte, J. 2011. Maximum entropy and ecology: a theory of abundance, distribution, and energetics. Oxford University Press.

See Also

metePi

Examples

data(anbo)
## calculate SSF Pi
pi1 <- meteSSF(anbo$spp, 'crcr', anbo$count, row=anbo$row, col=anbo$column, A=1, A0=16)
pi1

cmerow/meteR documentation built on May 13, 2019, 8:23 p.m.