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 Anna Wenzel on behalf of the Authors (06 Jan 2015) Author's response

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

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.