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Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops.

  • G. Zhao
  • , H. Hoffman
  • , J. Yeluripati
  • , Xenia. S
  • , C. Nendal
  • , E. Coucheney
  • , M. Kuhnert
  • , F. Tao
  • , J. Constantin
  • , H. Raynal
  • , E. Teixeira
  • , B. Grosz
  • , L. Dora
  • , R. Kiese
  • , H. Eckersten
  • , E. Haas
  • , D. Cammarano
  • , M. Moriondo
  • , G. Trombi
  • , M. Bindi
  • C. Biernath, F. Heinlein, C. Klein, E. Priesack, E. Lewan, K.C. Kersebaum, R. Rotter, P.P. Roggero, D. Wallach, S. Asseng, S. Siebert, T. GaIsier, F. Ewert
  • University of Bonn
  • Leibniz Centre for Agricultural Landscape Research
  • Swedish University of Agricultural Sciences
  • University of Aberdeen
  • Natural Resources Institute Finland
  • INRA - Institut National de la Recherche Agronomique
  • New Zealand Institute for Plant and Food Research Ltd.
  • Thünen Institute
  • University of Sassari
  • Karlsruhe Institute of Technology
  • University of Florida
  • CNR IbIMET
  • University of Florence
  • German Research Center of Environmental Health

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)100-112
JournalEnvironmental Modelling and Software
Volume80
DOIs
Publication statusPublished - 1 Jun 2016

Keywords

  • Clustering
  • Crop models
  • Model comparison
  • Precision gain
  • Simple random sampling
  • Stratified random sampling
  • Upscaling

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