Difference: SWADE4 (2 vs. 3)

Revision 32010-08-18 - TheresiaFreska

 
META TOPICPARENT name="SoftwareCodes"

ADE 4 2004

Below is the detail information:

DEVELOPED 1997-2005
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AUTHOR Jean Thioulouse (Computer science)
UMR CNRS 5558 - Laboratoire de Biom?trie et Biologie Evolutive
B?t. 711, Univ. Lyon 1, 43 Bd du 11 Novembre 1918
69622 Villeurbanne Cedex, France.
Jean.Thioulouse@biomserv.univ-lyon1.fr

Daniel Chessel (Statistics)
UMR CNRS 5558 - Laboratoire de Biom?trie et Biologie Evolutive
B?t. 711, Univ. Lyon 1, 43 Bd du 11 Novembre 1918
69622 Villeurbanne Cedex, France.
Daniel.Chessel@biomserv.univ-lyon1.fr

Sylvain Dol?dec (Ecology)
Laboratoire d'?cologie des Eaux Douces et des Grands fleuves
?quipe : Bases th?oriques pour la gestion ?cologique des eaux courantes
B?t 401C, Univ. Lyon 1, 43 Bd du 11 Novembre 1918
69622 Villeurbanne Cedex, France
Sylvain.Doledec@biomserv.univ-lyon1.fr
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AUTHOR Jean Thioulouse (Computer science)
UMR CNRS 5558 - Laboratoire de Biométrie et Biologie Evolutive
Bât. 711, Univ. Lyon 1, 43 Bd du 11 Novembre 1918
69622 Villeurbanne Cedex, France.
Jean.Thioulouse(at)biomserv.univ-lyon1.fr

Daniel Chessel (Statistics)
UMR CNRS 5558 - Laboratoire de Biométrie et Biologie Evolutive
Bât. 711, Univ. Lyon 1, 43 Bd du 11 Novembre 1918
69622 Villeurbanne Cedex, France.
Daniel.Chessel(at)biomserv.univ-lyon1.fr

Sylvain Dolédec (Ecology)
Laboratoire d'écologie des Eaux Douces et des Grands fleuves
équipe : Bases théoriques pour la gestion écologique des eaux courantes
Bât 401C, Univ. Lyon 1, 43 Bd du 11 Novembre 1918
69622 Villeurbanne Cedex, France
Sylvain.Doledec@biomserv.univ-lyon1.fr
 
PLATFORM Windows, MAC, Unix.
New developments run under R.
PURPOSE Spatial and multivariate analysis programs.
FUNCTIONS + Principal components analysis (PCA) is devoted to quantitative measurements
+ Correspondence analysis (COA) enables the study of contingency tables (counts of the joint occurrences of rows and columns of a table).
+ Multiple correspondence analysis (MCA) permits to analyze qualitative (or categorical) variables.
+ Discriminant analysis and within/between groups analyses (starting from either PCA, COA or MCA tables).
+ Spatial data analysis methods (local and global analyses, based on local variance and spatial autocorrelation: Moran & Geary indices) are also available.
+ Mapping and contouring tools
CODES R codes available
TIP Very active homepage ADE-4 on the Web with full examples of the use of their tools (English and French version available). Excellent mailing list of ADE 4 users (mainly French speaking users).
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HOMEPAGE Home: pbil.univ-lyon1.fr/ADE-4/
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HOMEPAGE Home: http://pbil.univ-lyon1.fr/ADE-4/
 
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