Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.240
IF5.240
IF 5-year value: 5.768
IF 5-year
5.768
CiteScore value: 8.9
CiteScore
8.9
SNIP value: 1.713
SNIP1.713
IPP value: 5.53
IPP5.53
SJR value: 3.18
SJR3.18
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 51
h5-index51
Volume 11, issue 6
Geosci. Model Dev., 11, 2189–2207, 2018
https://doi.org/10.5194/gmd-11-2189-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 2189–2207, 2018
https://doi.org/10.5194/gmd-11-2189-2018
© 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.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marialaura Bancheri on behalf of the Authors (19 Apr 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Apr 2018) by Rolf Sander
RR by Anonymous Referee #2 (10 May 2018)
ED: Publish subject to minor revisions (review by editor) (11 May 2018) by Rolf Sander
AR by Marialaura Bancheri on behalf of the Authors (16 May 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (23 May 2018) by Rolf Sander
Publications Copernicus
Download
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...
Citation