Statistical methods for biodiversity research

Ordination methods for ecologists

Statistics for ecologists A collection of useful links to sites with statistical or mathematical material relevant to ecologists.

Analyzing Ecological Data This book is available online here.

Numerical Ecology 2nd edition by Pierre and Louis Legendre. A classic reference text in quantitative ecology.

Numerical Ecology with R. This new book by Borcard et al. from Université de Montréal discuss both some theory on quantitative methods in ecology and how they are implemented in the R language.

Measure Biological Diversity by Anne E. Magurran.

Official R project homepage

R seek a great search engine for R.

Stackoverflow provides users the ability to ask and asnwer questions related to R. Questions that are well articulated are generally answered promptly. Make sure you search the archives of questions to determine whether your question was asked previously, prior to posting a new question.

R mailing lists The archives of the mailing lists provide a wealth of information about R, can be searched here.

R for Matlab users For those already familiar with the Matlab language.

R programming for those coming from other languages

Vegan: R functions for vegetation ecologists

ADE4Analysis of Ecological Data : Exploratory and Euclidean methods in Environmental sciences.

ADEHABITATAnalysis of habitat selection by animals.

ADSSpatial point patterns analysis.

ADEGENETClasses and methods for the multivariate analysis of genetic markers.

adephylo: exploratory analyses for the phylogenetic comparative method ===== Resources for Python ===== * Official page of NumPy The fundamental package needed for scientific computing with Python. * SciPy Another Python library that uses NumPy to do advanced math, signal processing, optimization, statistics. The list of staticical functions is provided here. * matplotlib A python 2D plotting library which produces publication quality figures. * R/SPlus - Python Interface** An interface that allows Python code to call R functions and R code to create Python objects and call Python functions and methods.