An integrated user-friendly ArcMAP tool for bivariate statistical modelling in geoscience applications

Jebur, M. N.; Pradhan, B.; Shafri, H. Z. M.; Yusoff, Z. M.; Tehrany, M. S.

doi:https://doi.org/10.5194/gmd-8-881-2015

Articles | Volume 8, issue 3

https://doi.org/10.5194/gmd-8-881-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-881-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 3

Model description paper

|

30 Mar 2015

Model description paper |

| 30 Mar 2015

An integrated user-friendly ArcMAP tool for bivariate statistical modelling in geoscience applications

M. N. Jebur, B. Pradhan, H. Z. M. Shafri, Z. M. Yusoff, and M. S. Tehrany

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Final revised paper (published on 30 Mar 2015)
Preprint (discussion started on 28 Oct 2014)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C2297: 'Review report of the gmd-2014-168', Anonymous Referee #1, 14 Nov 2014
- AC C2835: 'Response note from authors', B. Pradhan, 03 Jan 2015
RC C2305: 'Comments on gmd-2014-168', Anonymous Referee #2, 17 Nov 2014
- AC C2838: 'Response note from authors', B. Pradhan, 03 Jan 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Biswajeet Pradhan on behalf of the Authors (03 Jan 2015) Manuscript

ED: Referee Nomination & Report Request started (14 Jan 2015) by Gerd A. Folberth

RR by Anonymous Referee #1 (30 Jan 2015)

ED: Reconsider after major revisions (02 Feb 2015) by Gerd A. Folberth

AR by Biswajeet Pradhan on behalf of the Authors (26 Feb 2015) Author's response Manuscript

ED: Publish as is (03 Mar 2015) by Gerd A. Folberth

AR by Biswajeet Pradhan on behalf of the Authors (12 Mar 2015)

Short summary

The main contributions of this manuscript are • A novel and easy to use ArcMap tool is proposed for bivariate statistical analysis model implementation. • The developed tool facilitated and sped up the BSA modelling process of frequency ratio, weights of evidence, and evidential belief function. • This tool classifies the variables based on the acquired weights automatically. • All three methods were tested on a study area and landslide susceptibility maps were produced.