Selecting Optimal Conditioning Factors in Landslide Susceptibility Mapping Using Certainty Factor and A Multi-Class Weight of Evidence Approach

Putri Fatimah Nurdin, Tetsuya Kubota, Andang Suryana Soma, Seniarwan


One of the important steps in assessing landslide susceptibility is the selection of conditioning factors, of which many have been examined in the literature for related mapping; however, factors that produce a better result for an area under analysis have not yet been convincing. With the available landslide conditioning factors, assessing the best combination has become an important research issue. Those employed in this research were: elevation, slope, aspect, curvature, plan curvature, profile curvature, lithology, TPI (Topographical Position Index), TWI (Topographical Wetness Index), SPI (Stream Power Index), distance to river, drainage density, soil, land use cover, distance to fault, and precipitation. All maps were subdivided into different classes by value or feature, and were then converted to a raster format in the ArcGIS 9.3. The objective of this study was to investigate the application of weight-of-evidence (WoE) and certainty factor approaches for selecting corresponding conditioning factors to produce an effective landslide susceptibility map of a landslide-prone area. Eleven out of fifteen factors were selected by certainty factor. Meanwhile,a combination of seven factors were selected as independence factors by WoE, using the conditional independence test. The validation results showed that the CF model has a slightly greater area under the curve (AUC) at 90.3% and a predictive rate curve of 90.2%, which is better than WoE (AUC 90.1% and a predictive rate curve of 89.9%).


Landslide susceptibility map, certainty factor, weight of evidence, optimization


  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.