Uncertainty quantification of interpolated maps derived from observations with different accuracy levels

Gerard B.M. Heuvelink; Dick Brus; Tom Hengl; Bas Kempen; Johan G.B. Leenaars; Maria Ruiperez-Gonzalez

Uncertainty quantification of interpolated maps derived from observations with different accuracy levels

Gerard B.M. Heuvelink^*, Dick Brus, Tom Hengl, Bas Kempen, Johan G.B. Leenaars, Maria Ruiperez-Gonzalez

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of Spatial Accuracy 2016
Editors	Jean-Stéphanie Bailly, Daniel Griffith, Didier Josselin
Publisher	International Spatial Accuracy Research Association (ISARA)
Pages	49-51
ISBN (Print)	9782910545105
Publication status	Published - 2016
Event	12th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2016 - Montpellier, France Duration: 5 Jul 2016 → 8 Jul 2016

Conference

Conference	12th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2016
Country/Territory	France
City	Montpellier
Period	5/07/16 → 8/07/16

Keywords

Africa
Geostatistics
Interpolation
Kriging
Measurement error
Regression
Soil

Access to Document

https://edepot.wur.nl/393886

Cite this

Heuvelink, G. B. M., Brus, D., Hengl, T., Kempen, B., Leenaars, J. G. B., & Ruiperez-Gonzalez, M. (2016). Uncertainty quantification of interpolated maps derived from observations with different accuracy levels. In J.-S. Bailly, D. Griffith, & D. Josselin (Eds.), Proceedings of Spatial Accuracy 2016 (pp. 49-51). International Spatial Accuracy Research Association (ISARA). https://edepot.wur.nl/393886

@inproceedings{21c682d64b374e9aa991b744b9251791,

title = "Uncertainty quantification of interpolated maps derived from observations with different accuracy levels",

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.",

keywords = "Africa, Geostatistics, Interpolation, Kriging, Measurement error, Regression, Soil",

author = "Heuvelink, {Gerard B.M.} and Dick Brus and Tom Hengl and Bas Kempen and Leenaars, {Johan G.B.} and Maria Ruiperez-Gonzalez",

year = "2016",

language = "English",

isbn = "9782910545105",

pages = "49--51",

editor = "Jean-St{\'e}phanie Bailly and Daniel Griffith and Didier Josselin",

booktitle = "Proceedings of Spatial Accuracy 2016",

publisher = "International Spatial Accuracy Research Association (ISARA)",

note = "12th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2016 ; Conference date: 05-07-2016 Through 08-07-2016",

}

Heuvelink, GBM, Brus, D, Hengl, T, Kempen, B , Leenaars, JGB & Ruiperez-Gonzalez, M 2016, Uncertainty quantification of interpolated maps derived from observations with different accuracy levels. in J-S Bailly, D Griffith & D Josselin (eds), Proceedings of Spatial Accuracy 2016. International Spatial Accuracy Research Association (ISARA), pp. 49-51, 12th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2016, Montpellier, France, 5/07/16. <https://edepot.wur.nl/393886>

Uncertainty quantification of interpolated maps derived from observations with different accuracy levels. / Heuvelink, Gerard B.M.; Brus, Dick; Hengl, Tom et al.
Proceedings of Spatial Accuracy 2016. ed. / Jean-Stéphanie Bailly; Daniel Griffith; Didier Josselin. International Spatial Accuracy Research Association (ISARA), 2016. p. 49-51.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

TY - GEN

T1 - Uncertainty quantification of interpolated maps derived from observations with different accuracy levels

AU - Heuvelink, Gerard B.M.

AU - Brus, Dick

AU - Hengl, Tom

AU - Kempen, Bas

AU - Leenaars, Johan G.B.

AU - Ruiperez-Gonzalez, Maria

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Africa

KW - Geostatistics

KW - Interpolation

KW - Kriging

KW - Measurement error

KW - Regression

KW - Soil

M3 - Conference paper

AN - SCOPUS:84991373123

SN - 9782910545105

SP - 49

EP - 51

BT - Proceedings of Spatial Accuracy 2016

A2 - Bailly, Jean-Stéphanie

A2 - Griffith, Daniel

A2 - Josselin, Didier

PB - International Spatial Accuracy Research Association (ISARA)

T2 - 12th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2016

Y2 - 5 July 2016 through 8 July 2016

ER -

Uncertainty quantification of interpolated maps derived from observations with different accuracy levels

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Conference

Keywords

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