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Using landscape characteristics to define an adjusted distance metric for improving kriging interpolations / S. Lyon in International journal of geographical information science IJGIS, vol 24 n° 5-6 (may 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n° 5-6 (may 2010) . - pp 723 - 740 Titre : Using landscape characteristics to define an adjusted distance metric for improving kriging interpolations Type de document : Article/Communication Auteurs : S. Lyon, Auteur ; R. Sorensen, Auteur ; J. Stendahl, Auteur ; J. Seibert, Auteur Année de publication : 2010 Article en page(s) : pp 723 - 740 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques [Termes IGN] azote [Termes IGN] carbone [Termes IGN] distance euclidienne [Termes IGN] humidité du sol [Termes IGN] interpolation [Termes IGN] krigeage [Termes IGN] métrique [Termes IGN] Suède [Termes IGN] variogramme Résumé : (Auteur) Interpolation of point measurements using geostatistical techniques such as kriging can be used to estimate values at non-sampled locations in space. Traditional geostatistics are based on the spatial autocorrelation concept that nearby things are more related than distant things. In this study, additional information was used to modify the traditional Euclidean concept of distance into an adjusted distance metric that incorporates similarity in terms of quantifiable landscape characteristics such as topography or land use. This new approach was tested by interpolating soil moisture content, pH and carbon-to-nitrogen (C:N) ratio measured in both the mineral and the organic soil layers at a field site in central Sweden. Semivariograms were created using both the traditional distance metrics and the proposed adjusted distance metrics to carry out ordinary kriging (OK) interpolations between sampling points. In addition, kriging with external drift (KED) was used to interpolate soil properties to evaluate the ability of the adjusted distance metric to incorporate secondary data into interpolations. The new adjusted distance metric typically lowered the nugget associated with the semivariogram, thereby better representing small-scale variability in the measured data compared to semivariograms based on the traditional distance metric. The pattern of the resulting kriging interpolations using KED and OK based on the adjusted distance metric were similar because they represented secondary data and, thus, enhanced small-scale variability compared to traditional distance OK. This created interpolations that agreed better with what is expected for the real-world spatial variation of the measured properties. Based on cross-validation error, OK interpolations using the adjusted distance metric better fit observed data than either OK interpolations using traditional distance or KED. Copyright Taylor & Francis Numéro de notice : A2010-168 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Article DOI : 10.1080/13658810903062487 En ligne : https://doi.org/10.1080/13658810903062487 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30363 [article]

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