an integrated user-friendly arcmap tool for bivariate statistical modelling in geoscience applications
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2015
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Abstract
Modelling and classification difficulties are fundamental issues in natural
hazard assessment. A geographic information system (GIS) is a domain that
requires users to use various tools to perform different types of spatial
modelling. Bivariate statistical analysis (BSA) assists in hazard modelling.
To perform this analysis, several calculations are required and the user has
to transfer data from one format to another. Most researchers perform these
calculations manually by using Microsoft Excel or other programs. This
process is time-consuming and carries a degree of uncertainty. The lack of
proper tools to implement BSA in a GIS environment prompted this study. In
this paper, a user-friendly tool, bivariate statistical modeler (BSM), for
BSA technique is proposed. Three popular BSA techniques, such as frequency
ratio, weight-of-evidence (WoE), and evidential belief function (EBF) models, are
applied in the newly proposed ArcMAP tool. This tool is programmed in Python
and created by a simple graphical user interface (GUI), which facilitates the
improvement of model performance. The proposed tool implements BSA
automatically, thus allowing numerous variables to be examined. To validate
the capability and accuracy of this program, a pilot test area in Malaysia
is selected and all three models are tested by using the proposed program.
Area under curve (AUC) is used to measure the success rate and prediction rate.
Results demonstrate that the proposed program executes BSA with reasonable
accuracy. The proposed BSA tool can be used in numerous applications, such
as natural hazard, mineral potential, hydrological, and other engineering
and environmental applications.
| Reference Key |
jebur2015geoscientifican
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|---|---|
| Authors | ;M. N. Jebur;B. Pradhan;H. Z. M. Shafri;Z. M. Yusoff;M. S. Tehrany |
| Journal | international journal of quantum chemistry |
| Year | 2015 |
| DOI |
10.5194/gmd-8-881-2015
|
| URL | |
| Keywords |
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