2019
DOI: 10.35940/ijitee.l1091.10812s19
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Landslide Hazard Zonation from a GIS Perspective and Urban Planning Solutions in Central –Division of Fiji Islands

Abstract: As is a characteristic of rainfall-induced surficial landslides, the mass movement occurred where the landform or configuration of the bedrock surface facilitated the concentration of slope water. More than half of the landslides originated in slope depressions or drainage lines, with initial failure taking place on an upper slope, ridge or summit. The present study aims at assessing the rainfall intensity, site-soil-geology and seismicity of the central division of Viti Levu, Fiji Islands using the GIS and re… Show more

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Cited by 3 publications
(2 citation statements)
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“…The “ROC curve” is created by plotting the “sensitivity” versus the “100‐specificity” at various threshold levels. Furthermore, the AUC metric has been widely utilized to quantify the performance of FS techniques (Varo et al, 2019). A prediction method is considered good if the AUC value is near 1″. PPR=italicTPTP+FP NPR=italicTNTN+FN Accuracy=TP+TNTP+TN+FP+FN F1=2*Sen*SpeSen+Spe Sen=italicTPTP+FN Spe=italicTNTN+FP k=Pitalicobs+Pitalicexp1Pitalicexp Pitalicobs=TP+TNTP+TN+FP+FN …”
Section: Database and Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…The “ROC curve” is created by plotting the “sensitivity” versus the “100‐specificity” at various threshold levels. Furthermore, the AUC metric has been widely utilized to quantify the performance of FS techniques (Varo et al, 2019). A prediction method is considered good if the AUC value is near 1″. PPR=italicTPTP+FP NPR=italicTNTN+FN Accuracy=TP+TNTP+TN+FP+FN F1=2*Sen*SpeSen+Spe Sen=italicTPTP+FN Spe=italicTNTN+FP k=Pitalicobs+Pitalicexp1Pitalicexp Pitalicobs=TP+TNTP+TN+FP+FN …”
Section: Database and Methodologymentioning
confidence: 99%
“…The "ROC curve" is created by plotting the "sensitivity" versus the "100-specificity" at various threshold levels. Furthermore, the AUC metric has been widely utilized to quantify the performance of FS techniques (Varo et al, 2019). A prediction method is considered good if the AUC value is near 1 00 .…”
Section: Validation Methodsmentioning
confidence: 99%