Open Access
Issue
Climatologie
Volume 5, 2008
Page(s) 27 - 47
DOI https://doi.org/10.4267/climatologie.714
Published online 09 October 2015
  • Arnaud M. et Emery X., 2000 : Estimation et interpolation spatiale : méthodes déterministes et méthodes géostatistiques. Hermès, Paris, 221 pages. [Google Scholar]
  • Baillargeon S., 2005 : Le krigeage: revue de la théorie et application à l’interpolation spatiale de données de précipitations. Mémoire de la faculté des sciences et de génie de l’université Laval. Québec, 128 pages (hhttp://www.theses.ulaval.ca/2005/22636/22636.pdf). [Google Scholar]
  • Cressie N., 1993 : Statistics for Spatial Data. Revised edition, Wiley (ed.), N.Y., 900 pages. [Google Scholar]
  • Cleveland W. et Devlin S., 1988 : Locally weighted regression: an approach to regression analysis by local fitting. Journal of the American Statistical Association, 83, 403, 596–610. [Google Scholar]
  • Courault D. et Monestiez, P., 1999 : Spatial interpolation of air temperature according to atmospheric circulation patterns in southeast France. International Journal of Climatology, 19, 365–378. [Google Scholar]
  • De Berg M., Van Kreveldh M., Overmarsh M. et Schwarzkopf O., 2000 : Computational Geometry: Algorithms and Applications. Second Edition, Springer-Verlag (ed.), 367 pages. [Google Scholar]
  • Fotheringham A., Brundson C. et Charlton M., 2002 : Geographically Weighted Regression: the analysis of spatially varying relationships. Wiley & sons, Chicester, 288 pages. [Google Scholar]
  • Foucart T., 2006 : Colinéarité et régressions linéaire. Math. & Sci. hum. ~ Mathematics and Social Sciences, 173(1), 5–25. [Google Scholar]
  • Goovaerts P., 1997 : Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of hydrology, 228, 113–129. [Google Scholar]
  • Gratton Y., 2002 : Le krigeage : la méthode optimale d’interpolation spatiale. Disponible à : www.iag.asso.fr/pdf/krigeage_juillet2002.pdf. [Google Scholar]
  • Helland I.S., 1990 : Partial least squares regression and statistical models. Scand. J. Statist., 17, 97–114. [Google Scholar]
  • Hocking R.R., 1976 : The analysis and selection of variables in linear regression. Biometrics, 32, 1–40. [Google Scholar]
  • Joly D., 2007 : L’information géographique au service de la climatologie. . In ‘Information Géographique et Aménagement du Territoire; Information géographique et climatologie’, Carrega P., Hermes, Paris, 23–72. [Google Scholar]
  • Joly D., Nilsen L., Fury R., Elvebakk A. et Brossard T., 2003 : Temperature interpolation at a large scale; test on a small area in Svalbard. International Journal of Climatology, 23, 1637–1654. [Google Scholar]
  • Loader C., 2004 : Smoothing: local regression techniques. In Gentle J., Härdle W. et Moty Y. eds., Handbook of computational technics, Springler-Verlag, New-York, 539–564.Disponible à : http:/www.herine.net/stat/papers/hbcs.pdf. [Google Scholar]
  • Matheron G., 1970 : Traité de géostatistique appliquée, Tome 1. Mémoires du bureau de recherches géologiques et minières, no 14, Technip (ed.), Paris. [Google Scholar]
  • Mitas L. et Mitasova H., 1999 : Spatial interpolation. In: Geographical information systems : principles and technical issues (vol. 1), P.A. Longley, M.F. Goodchild, D.J. Maguire, D.W. Rhind, John Wiley & sons, N.Y., 481–492. [Google Scholar]
  • Wackernagel H., 2003 : Multivariate Geostatistics: an introduction with applications. Springler-Verlag ed., Berlin, third completely revised edition, 387 pages. [Google Scholar]
  • Wand M.P. et Jones M.C., 1995 : Kernel smoothing. Monographs on Statistics and applied Probability, Chapman & hall, London, 60, 2 pages. [Google Scholar]
  • Wold S., Ruhe A., Wold H. et Dunn III W.J., 1984 : The collinearity problem in linear regression. The partial least squares (PLS) approached to generalized inverses. SIAM Sci. Stat. Comp., 5(3), 735–743. [Google Scholar]

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