Logiciels pour analyser les données en écologie

Une compilation de logiciels pour réaliser des analyses multivariées dans le domaine de l'écologie (analyses des communautés, analyses spatiales, etc.).  Je vous invite à découvrir ce site hyper complet ici. 

Cette page Internet est l'oeuvre de Mike Palmer, Botany Department, Oklahoma State University, Stillwater, Oklahoma 74078 USA




Exemples :

ADE-4: Exploratory and Euclidean methods in Environmental sciences

PISCES offers software for the analysis of species richness, diversity, population growth, and marine food webs. Direct gradient analysis (RDA and CCA) has recently been added.

PopTools: Free. Excel Macros for population biology – not really ordination, but there is an eigenanalysis macro, and these programs are good examples of what can be done in Excel.

PRIMER: Software from the Plymouth Marine Laboratory, including BIOENV and a variety of ecological analyses
...

Pour compléter le tout, retrouver des explications concernant les méthodes d'ordination en écologie ici

Ordination - The simplest definition is "Putting Things in Order" !

• "Ordination is the collective term for multivariate techniques that arrange sites along axes on the basis of data on species composition" (ter Braak 1987).
• "The term 'ordination' derives from early attempts to order a group of objects, for example in time or along an environmental gradient. Nowadays the team is used more generally and refers to an 'ordering' in any number of dimensions (preferably few) that approximates some pattern of response of the set of objects. The usual objective of ordination is to help generate hypotheses about the relationship between the species composition at a site and the underlying environmental gradients" (Digby and Kempton 1987).
  
  "Ordination - The ordering of a set of data points with respect to one or more axes. Alternatively, the displaying of a swarm of data points in a two or three-dimensional coordinate frame so as to make the relationships among the points in many-dimensional space visible on inspection" (Pielou 1984)