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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 6
Geosci. Model Dev., 11, 2189–2207, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 2189–2207, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 13 Jun 2018

Development and technical paper | 13 Jun 2018

The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8

Marialaura Bancheri et al.

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Cited articles

Abera, W., Formetta, G., Borga, M., and Rigon, R.: Estimating the water budget components and their variability in a pre-alpine basin with JGrass-NewAGE, Adv. Water Resour., 104, 37–54, 2017.
Adams, B. M., Bohnhoff, W., Dalbey, K., Eddy, J., Eldred, M., Gay, D., Haskell, K., Hough, P. D., and Swiler, L. P.: Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: Version 5.0 user's manual, Sandia National Laboratories, Tech. Rep. SAND2010-2183, 2009.
Adhikary, S. K., Muttil, N., and Yilmaz, A. G.: Genetic programming-based ordinary kriging for spatial interpolation of rainfall, J. Hydrol. Eng., 21, 04015062,, 2015.
Aidoo, E. N., Mueller, U., Goovaerts, P., and Hyndes, G. A.: Evaluation of geostatistical estimators and their applicability to characterise the spatial patterns of recreational fishing catch rates, Fish. Res., 168, 20–32, 2015.
Argent, R. M.: An overview of model integration for environmental applications–components, frameworks and semantics, Environ. Modell. Softw., 19, 219–234, 2004.
Publications Copernicus
Short summary
This paper presents a new modeling package for the spatial interpolation of environmental variables. It includes 11 theoretical semivariogram models and four types of Kriging interpolations. To test the performances of the package, two applications are performed: the interpolation of 1 year of temperatures and a rainfall event. Both interpolations gave good results. In comparison with gstat, the SIK package proved to be a good alternative, regarding both the easiness of use and the accuracy.
This paper presents a new modeling package for the spatial interpolation of environmental...