Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 509045
Title Uncertainty quantification of interpolated maps derived from observations with different accuracy levels
Author(s) Heuvelink, Gerard B.M.; Brus, Dick; Hengl, Tom; Kempen, Bas; Leenaars, Johan G.B.; Ruiperez-Gonzalez, Maria
Source In: Proceedings of Spatial Accuracy 2016. - International Spatial Accuracy Research Association (ISARA) - ISBN 9782910545105 - p. 49 - 51.
Event 12th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2016, Montpellier, 2016-07-05/2016-07-08
Department(s) ISRIC - World Soil Information
PE&RC
Alterra - Soil, water and land use
Publication type Contribution in proceedings
Publication year 2016
Keyword(s) Africa - Geostatistics - Interpolation - Kriging - Measurement error - Regression - Soil
Abstract

Most practical applications of spatial interpolation ignore that some measurements may be more accurate than others. As a result all measurements are treated equally important, while it is intuitively clear that more accurate measurements should carry more weight than less accurate measurements. Geostatistics provides the tools to perform spatial interpolation using measurements with different accuracy levels. In this short paper we use these tools to explore the sensitivity of interpolated maps to differences in measurement accuracy for a case study on mapping topsoil clay content in Namibia using kriging with external drift (KED). We also compare the kriging variance maps and show how incorporation of different measurement accuracy levels influences estimation of the KED model parameters.

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