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A spatial extension of CART: application to classification of ecological data

  • L. Bel
  • J.M. Laurent
  • A. Bar-Hen
  • D. Allard
  • R. Cheddadi

Keywords

Pollen Data Gini Index Classification Rule Ecological Data Spatial Extension 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Beerling DJ, Woodward FI, Lomas M, Jenkins AJ (1997) Testing the responses of a dynamic global vegetation model to environmental change: a comparison of observations and predictions. Global Ecology and Biogeography Letters, vol 6, 439–450Google Scholar
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  3. Moore DM, Lee BG and Davey SM (1991) A new method for predicting vegetation distributions using decision tree analysis in a geographic information system. Environ. Manage. Vol 15, 59–71Google Scholar
  4. Intergovernmental Panel on Climate Change (2001) Climate change 2001: The scientific basis, Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson CA (eds). Cambridge University Press, CambridgeGoogle Scholar
  5. Laurent JM, Bar-Hen A, François L, Ghislain M, Cheddadi R (2004) Bioclimatic Affinity Groups of European plants defined by climate seasonality: statistical analysis for vegetation modeling. Journal of Vegetation Science, in pressGoogle Scholar
  6. New M, Hulme M, Jones P (1999) Representing twentieth-century space-time climate variability. Part I: Development of a 1961–90 mean monthly terrestrial climatology. J. Clim., vol 12, 829–856CrossRefGoogle Scholar
  7. Wackernagel H (2003) Multivariate Geostatistics, 3rd ed., Springer, Berlin.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • L. Bel
    • 1
  • J.M. Laurent
    • 2
  • A. Bar-Hen
    • 3
  • D. Allard
    • 4
  • R. Cheddadi
    • 2
  1. 1.Probabilités, Statistique et ModélisationUniversité Paris-SudOrsayFrance
  2. 2.Institut des Sciences de l’EvolutionCNRS and Université Montpellier IIFrance
  3. 3.Institut National d’AgronomieParisFrance
  4. 4.Unité de BiométrieInstitut National de la Recherche AgronomiqueAvignonFrance

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