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An empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationships

Author

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  • Susana Mendes
  • M. Jos� Fernández-Gómez
  • Mário Jorge Pereira
  • Ulisses Miranda Azeiteiro
  • M. Purificación Galindo-Villardón

Abstract

The wide-ranging and rapidly evolving nature of ecological studies mean that it is not possible to cover all existing and emerging techniques for analyzing multivariate data. However, two important methods enticed many followers: the Canonical Correspondence Analysis (CCA) and the STATICO analysis. Despite the particular characteristics of each, they have similarities and differences, which when analyzed properly, can, together, provide important complementary results to those that are usually exploited by researchers. If on one hand, the use of CCA is completely generalized and implemented, solving many problems formulated by ecologists, on the other hand, this method has some weaknesses mainly caused by the imposition of the number of variables that is required to be applied (much higher in comparison with samples). Also, the STATICO method has no such restrictions, but requires that the number of variables (species or environment) is the same in each time or space. Yet, the STATICO method presents information that can be more detailed since it allows visualizing the variability within groups (either in time or space). In this study, the data needed for implementing these methods are sketched, as well as the comparison is made showing the advantages and disadvantages of each method. The treated ecological data are a sequence of pairs of ecological tables, where species abundances and environmental variables are measured at different, specified locations, over the course of time.

Suggested Citation

  • Susana Mendes & M. Jos� Fernández-Gómez & Mário Jorge Pereira & Ulisses Miranda Azeiteiro & M. Purificación Galindo-Villardón, 2012. "An empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationships," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(5), pages 979-994, October.
    • Handle: RePEc:taf:japsta:v:39:y:2012:i:5:p:979-994
    DOI: 10.1080/02664763.2011.634393
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    References listed on IDEAS

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    1. Arnold Wollenberg, 1977. "Redundancy analysis an alternative for canonical correlation analysis," Psychometrika, Springer;The Psychometric Society, vol. 42(2), pages 207-219, June.
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    1. Mariela González-Narváez & María José Fernández-Gómez & Susana Mendes & José-Luis Molina & Omar Ruiz-Barzola & Purificación Galindo-Villardón, 2021. "Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO," Sustainability, MDPI, vol. 13(11), pages 1-25, May.
    2. Dungey, Mardi & Doko Tchatoka, Firmin & Yanotti, María B., 2018. "Using multiple correspondence analysis for finance: A tool for assessing financial inclusion," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 212-222.
    3. Edith Johana Medina-Hernández & María José Fernández-Gómez, 2024. "Multi-way Analysis of the Gender Dimension of the Sustainable Development Goals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 172(2), pages 517-541, March.

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