IDEAS home Printed from https://ideas.repec.org/p/bge/wpaper/640.html
   My bibliography  Save this paper

Fuzzy Coding in Constrained Ordinations

Author

Listed:
  • Michael Greenacre

Abstract

Canonical correspondence analysis and redundancy analysis are two methods of constrained ordination regularly used in the analysis of ecological data when several response variables (for example, species abundances) are related linearly to several explanatory variables (for example, environmental variables, spatial positions of samples). In this report we demonstrate the advantages of the fuzzy coding of explanatory variables: first, nonlinear relationships can be diagnosed; second, more variance in the responses can be explained; and third, in the presence of categorical explanatory variables (for example, years, regions) the interpretation of the resulting triplot ordinations is unified because all explanatory variables are measured at a categorical level.

Suggested Citation

  • Michael Greenacre, 2012. "Fuzzy Coding in Constrained Ordinations," Working Papers 640, Barcelona Graduate School of Economics.
  • Handle: RePEc:bge:wpaper:640
    as

    Download full text from publisher

    File URL: http://www.barcelonagse.eu/sites/default/files/working_paper_pdfs/640.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nenadic, Oleg & Greenacre, Michael, 2007. "Correspondence Analysis in R, with Two- and Three-dimensional Graphics: The ca Package," Journal of Statistical Software, Foundation for Open Access Statistics.
    2. Jose Apesteguia & Miguel Angel Ballester, 2007. "On The Complexity of Rationalizing Behavior," Working Papers 320, Barcelona Graduate School of Economics.
    3. Greenacre Michael, 2010. "Biplots in Practice," Books, Fundacion BBVA / BBVA Foundation, number 2011113.
    4. Farré Lidia & González Libertad & Ortega Francesc, 2011. "Immigration, Family Responsibilities and the Labor Supply of Skilled Native Women," The B.E. Journal of Economic Analysis & Policy, De Gruyter, pages 1-48.
    5. Andrea Caggese & Vicente Cuñat, 2008. "Financing Constraints and Fixed-term Employment Contracts," Economic Journal, Royal Economic Society, vol. 118(533), pages 2013-2046, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jose Apesteguia & Miguel Angel Ballester, 2014. "Discrete Choice Estimation of Risk Aversion," Working Papers 788, Barcelona Graduate School of Economics.

    More about this item

    Keywords

    canonical correspondence analysis; crisp coding; dummy variables; fuzzy coding; redundancy analysis;

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bge:wpaper:640. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bruno Guallar). General contact details of provider: http://edirc.repec.org/data/bargses.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.