Introduction on Canoco for Windows 4.5
Canoco for Windows is the next generation of Canoco software, the most popular tool for constrained and unconstrained ordination in ecological applications.
Canoco for Windows integrates ordination with regression and permutation methodology, so as to allow sound statistical modelling of ecological data. Canoco for Windows contains both linear and unimodal methods. Ordination with Canoco for Windows can provide insight into: |
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- the structure of biological communities,
- the relations between plant and animal communities and their environment,
- the effects of a putative impact on the environment and/or its biological communities,
- the effects of treatments of complex ecological and ecotoxicological experiments on biological communities.
Ordination diagrams can be displayed on screen immediately after an ordination has been calculated. Canoco is unique in its capability to account for background variation specified by covariables and in its extensive facilities for permutation tests, including tests of interaction effects. These unique features make Canoco for Windows particularly effective in solving applied research problems.
Canoco has been designed for ecologists, but Canoco has also been used in toxicology, soil science, geology, archeaology, water district management, food and health and public health research and market research, to name a few.
References
- Braak, C. J. F. ter (1996). Unimodal methods to relate species to environment. Centre for Biometry Wageningen (DLO Agricultural Mathematics Group), Wageningen, the Netherlands, 266 pp.
- Braak, C. J. F. ter and Verdonschot, P. F. M. (1995). Canonical correspondence analysis and related multivariate methods in aquatic ecology. Aquatic Sciences, 57, 255-289.
- Braak, C. J. F. ter (1994). Canonical community ordination. Part I: Basic theory and linear methods. Ecoscience, 1, 127-140.
- Braak, C. J. F. ter (1986). Canonical correspondence analysis: a new eigenvector method for multivariate direct gradient analysis. Ecology, 67, 1167-1179.
- Braak, C. J. F. ter and Looman, C. W. N. (1994). Biplots in reduced-rank regression. Biometrical Journal, 36, 983-1003.
- Braak, C.J.F. ter; Prentice, I.C. (2004) A theory of gradient analysis. Advances in Ecological Research 34 . - p. 235 - 282.
- Braak, C. J. F. ter and Šmilauer, P. (2002). CANOCO Reference Manual and CanoDraw for Windows User's Guide: Software for Canonical Community Ordination (version 4.5). Section on permutation methods. Microcomputer Power (Ithaca NY, USA), 500 pp.
- Brink, P.J. van den; Besten, P.J. den; Vaate, A. bij de; Braak, C.J.F. ter (2009) Principal response curves technique for the analysis of multivariate biomonitoring time series. Environmental Monitoring and Assessment 152 (1-4). - p. 271 - 281
- Brink, P. J. van der and Braak, C. J. F. ter (1998). Multivariate analysis of stress in experimental ecosystems by Principal Response Curves and similarity analysis. Aquatic Ecology, 32, 163-178.
- Funes Monzote, F.R.; Monzote, M.; Lantinga, E.A.; Braak, C.J.F. ter; Sánchez, J.E.; Keulen, H. van (2009) Agro-ecological indicators (AEIs) for dairy and mixed farming systems classification: Identifying alternatives for the Cuban livestock sector. Journal of Sustainable Agriculture 33 (4). - p. 435 - 460.
- Jongman R. H. G., Braak, C. J. F. ter and van Tongeren, O. F. R., editors (1995). Data analysis in community and landscape ecology. Cambridge University Press, Cambridge.
- Postprint of most of these publications are available here
- Other publications of prof.dr.CJF ter Braak