Learn R Programming

meteR (version 1.2)

meteR-package: Analyses with the Maximum Entropy Theory of Ecology (METE)

Description

Fits and plots macroecological patterns predicted by the Maximum Entropy Theory of Ecology (METE)

Arguments

Details

Package:
meteR
Type:
Package
Version:
1.0
Date:
2014-01-04
License:
GPL-2

References

Harte, J., Zillio, T., Conlisk, E. & Smith, A. (2008). Maximum entropy and the state-variable approach to macroecology. Ecology, 89, 2700-2711. Harte, J. (2008). From Spatial Pattern in the Distribution and Abundance of Species to a Unified Theory of Ecology: The Role of Maximum Entropy Methods. Applied Optimization pp. 243-272. Applied Optimization. Springer Berlin Heidelberg, Berlin, Heidelberg. Harte, J., Smith, A.B. & Storch, D. (2009). Biodiversity scales from plots to biomes with a universal species-area curve. Ecology Letters, 12, 789-797. Harte, J. (2011). Maximum entropy and ecology: a theory of abundance, distribution, and energetics. Oxford University Press, Oxford, UK.