Research Article
Modeling Typhoon Event-Induced Landslides Using GIS-Based Logistic Regression: A Case Study of Alishan Forestry Railway, Taiwan
Table 4
Regression coefficients obtained and statistics for the independent variables.
(a) |
| Variable | | Coefficient | Numerical variables | S.E. | value | Range | Mean | S.D. |
| Terrain roughness | | 0.496 | 12.88180.52 | 59.15 | 22.30 | 0.029 | 0.01 | Profile curvature | | 0.256 | −26.8228.21 | −0.10 | 1.74 | 0.256 | 0.01 | NDVI | | −0.908 | −0.460.62 | 0.31 | 0.17 | 0.038 | 0.01 | NDWI | | 0.585 | −0.590.41 | −0.14 | 0.09 | 0.032 | 0.01 | Distance to river | | −0.195 | 05249.76 | 1260.38 | 1217.93 | 0.025 | 0.01 | Maximum 1-h rainfall intensity (mm/hr) | | 0.391 | 76.80~100.53 | 93.04 | 5.70 | 0.391 | 0.01 | Constant | | −0.304 | | | | | |
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(b) |
| Variable | Class | Coefficient | Study area (%) | S.E. | value |
| Aspect | N | | 13.70 | | | NE | 0.382 | 11.12 | 0.080 | 0.01 | E | 0.403 | 11.29 | 0.087 | 0.01 | SE | −0.172 | 10.53 | 0.098 | 0.081 | S | −0.35 | 11.07 | 0.106 | 0.01 | SW | −0.519 | 13.00 | 0.114 | 0.01 | W | −0.869 | 13.48 | 0.106 | 0.01 | NW | −0.361 | 15.83 | 0.090 | 0.01 |
| Lithology | Schist, arenite | | 10.48 | | | Sandstone, mudstone | 0.031 | 80.99 | 0.123 | 0.013 | Sandstone, schist | 0.327 | 8.53 | 0.099 | <0.01 |
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