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  • Exploring scale-dependent correlations between cancer mortality rates using factorial kriging and population-weighted semivariograms
  • Data requirements for kriging: estimation and network design
  • to be exactly those best linear unbiased estimates obtained with the exponential semi-variogram model of kriging. Further articulation of such relations is outlined.
  • The estimation of variogram functions is illustrated by using precipitation and deposition data. The main characteristics of the variogram and kriging are discussed and interpreted. The statistical methodology outlined in this paper is fundamental
  • Objet de cet article: comparer différentes méthodes d'interpolation (moyenne pesée, projection linéaire, kriging, spline cubique) et des blocs de programmes d'interpolation appliqués; mettre en évidence les paramètres optimaux des calculs et donner
  • The paper demonstrates the processes of a forecast method which is well known in geostatistics as kriging . The proposed method is based on the Markov process and it is recommended for computerised deposit modelling because of numeral advantages
  • Mapping gamma radiation and its uncertainty from weathering products in a Tasmanian landscape with a proximal sensor and random forest kriging
  • along widely spaced short transects. They describe the sampling, their means of spatial prediction using random forests plus regression kriging (RF + RK) from the sparse data and the non-parametric spatial bootstrap used to estimate the variances from
  • to interpolate soil available P, Li, pH, alkali-hydrolyzable N, total K and Cr in a typical red soil hilly region. To evaluate the performance of HASM-SP, they compared its performance with that of ordinary kriging (OK), ordinary kriging combined geographic
  • information (OK-Geo) and stratified kriging (SK). The results show that HASM-SP can not only reduce prediction errors but also can be accordant with the distribution of geographic information, which make the spatial simulation of soil property more reasonable
  • and locational rents: the Iterative Residual Kriging (IRK) method. The methodological aspects are complemented by the presentation of an application of this methodology to the case of housing in Granada, Spain.
  • Des méthodes inappropriées sont souvent utilisées pour l'interpolation de données éparses sur l'environnement qui ne prennent pas en compte les caractéristiques des données elles-mêmes. L'A. présente la méthode Kriging et donne quelques exemples de
  • maps of sediment accumulation were made by interpolating the measurements from the traps using block kriging. The observed patterns of sediment accumulation are related to floodplain topography and possible sediment transporting mechanisms.
  • spacing of 2 km in a square grid was found to result in an acceptable maximum kriging estimation error of 5,76 %. The proposed sampling strategy would require 408 observations in total. This is 71 % less than the sampling during the National Soil Survey.
  • and wind velocity) were interpolated by the nearest neighbourhood (NN), inverse distance weighting (IDW), spline (SPL), hypsometric (HYP) and kriging (KRI) methods. The results were assessed by the root mean square error (RMSE). - (AM)
  • This study examines differences in catchment geomorphology and hydrology as a result of kriging and Delaunay triangulation gridding methods. The second aim is to examine the effect of this interpolated landscape data on soil loss and catchment
  • . For that variogram analysis and ordinary Kriging were used. The estimated data were aggregated by means of two cluster techniques. - (IFL)