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  • Predicting ordinary kriging errors caused by surface roughness and dissectivity
  • The aim of this paper is to determine the association of ordinary kriging (OK) estimated errors with the local variability of surface roughness, and to analyse the suitability of probabilistic models for predicting the magnitude of OK errors from
  • 2005
  • Exploring scale-dependent correlations between cancer mortality rates using factorial kriging and population-weighted semivariograms
  • 2005
  • . For that variogram analysis and ordinary Kriging were used. The estimated data were aggregated by means of two cluster techniques. - (IFL)
  • 2005
  • The objectives of this study are : to analyze the effects of land use patterns on runoff and soil nutrient losses based on spatial pattern of soil moisture by kriging and soil nutrients by multiple regression in a small catchment of the Loess
  • 2005