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Statistical methods for regionalization of ecological state variables

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Spatial Modelling in Forest Ecology and Management

Abstract

Many projects in ecological research are concerned with spatially arranged measurements. A common situation can mathematically be described by a finite set of points (locations)

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References

  • Akima H (1978) A method of bivariate interpolation and smooth surface fitting for irregularly spaced data points. Algorithm 526. ACM Transactions on Mathematical Software 4:148–159; 160-164

    Article  Google Scholar 

  • Box GEP, Jenkins GM (1976) Time series analysis-forecasting and control. Holden-Day, San Francisco

    Google Scholar 

  • Cressie NAC (1991) Statistics for spatial data. Wiley, New York

    Google Scholar 

  • Draper NR, Smith H (1981) Applied Regression Analysis. Wiley, New York

    Google Scholar 

  • Harder RL, Desmarais RN (1972) Interpolation using surface splines. Journal of Aircraft 9:189–191

    Article  Google Scholar 

  • Journel AG, Huijbregts CJ (1978) Mining geostatistics. Academic Press, London

    Google Scholar 

  • Mandallaz D (1993) Geostatistical methods for double sampling schemes: application to combined forest inventories. Habilitation thesis, Swiss Federal Institute of Technology, Zürich

    Google Scholar 

  • Meinguet J (1979) Multivariate interpolation at arbitrary points made simple. J. of Appl. Mathem. a. Phys. 30:292–304

    Article  Google Scholar 

  • Miller DM(1984) Reducing transformation bias in curve fitting. The American Statistician 38, No. 2

    Google Scholar 

  • Ripley BD (1981) Spatial statistics. Wiley, New York

    Book  Google Scholar 

  • Wahba G (1979) How to smooth curves and surfaces with splines and cross-validation. U.S. Army Research Office Report 79-2

    Google Scholar 

  • Wahba G (1990) Spline models for observational data. SIAM Philadelphia, Pennsylvania

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Forest Biometry and Informatics, University of Göttingen, Büsgenweg 4, 37077, Göttingen, Germany

    Prof. Dr. J. Saborowski & Dr. M. Jansen

Authors
  1. Prof. Dr. J. Saborowski
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  2. Dr. M. Jansen
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Editor information

Editors and Affiliations

  1. Institut für Forstliche Biometrie und Informatik, Büsgenweg 4, 37077, Göttingen, Germany

    Martin Jansen

  2. Institut für Zoologie und Anthropologie, Abteilung Ökologie Berliner Straße 28, 37073, Göttingen, Germany

    Michael Judas

  3. Institut für Forstliche Biometrie und Informatik, Büsgenweg 4, 37077, Göttingen, Germany

    Joachim Saborowski

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© 2002 Springer-Verlag Berlin Heidelberg

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Saborowski, J., Jansen, M. (2002). Statistical methods for regionalization of ecological state variables. In: Jansen, M., Judas, M., Saborowski, J. (eds) Spatial Modelling in Forest Ecology and Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56155-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-56155-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43357-6

  • Online ISBN: 978-3-642-56155-9

  • eBook Packages: Springer Book Archive

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