A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan mountains, SW Turkey

Journal of Asian Earth Sciences

Volumn 64, Issue , 2013, Pages 180-197

  Ozdemir, Adnan ^a   Altural, Tolga ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Frequency ratio; Landslide susceptibility; Logistic regression; Weights of evidence

Indexed keywords

ACCURACY ASSESSMENT; COMPARATIVE STUDY; FREQUENCY ANALYSIS; LAND COVER; LAND USE; LANDSLIDE; MAPPING METHOD; NUMERICAL MODEL; REGRESSION ANALYSIS; SEDIMENT TRANSPORT; SLOPE; CORRELATION; DATA SET; ELEVATION; GEOLOGICAL MAPPING; LAND USE PLANNING;

SULTAN MOUNTAINS; TURKEY;

EID: 84877043160     PISSN: 13679120     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jseaes.2012.12.014     Document Type: Article

References (69)

1. Akgun, A., 2011. A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey. Landslides. http://dx.doi.org/10.1007/s10346-011-0283-7.
2. Akgun, A., Dag, S., Bulut, F., 2008. Landslide susceptibility mapping for a landslideprone area (Findikli, NE of Turkey) by likelihood frequency ratio and weighted linear combination models. Environ. Geol. 54 (6), 1127-1143.
3. Akgun, A., Turk, N., 2010. Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis. Environ Earth Sci. 61 (3), 595-611.
4. Ayalew, L., Yamagishi, H., 2004. Slope movements in the Blue Nile basin, as seen from landscape evolution perspective. Geomorphology 57, 95-116.
5. Ayalew, L., Yamagishi, H., 2005. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65 (1-2), 15-31.
6. Barbieri, G., Cambuli, P., 2009. The weight of evidence statistical method in landslide susceptibility mapping of the Rio Pardu Valley (Sardinia, Italy). 18th World IMACS/MODSIM Congress, Cairns, Australia 13-17 July 2009. .
7. Bednarik, M., Magulova, B., Matys, M., Marschalko, M., 2010. Landslide susceptibility assessment of the Kralovany-Liptovski Mikulas railway case study. Phys. Chem. Earth, Parts A/B/C 35 (3-5), 162-171.
8. Begueria, S., 2006. Validation and evaluation of predictive models in hazard assessment and risk management. Nat. Hazards 37, 315-329.
9. Chen, R.H., Lin, M.L., Chen, H., 1995. Mechanism of initiation of debris flow. In: Cheng, F.Y., Shew, F.S. (Eds.), Urban Disaster Mitigation. Elsevier, Oxford, pp. 231-243.
10. Clark, W.A., Hosking, P.L., 1986. Statistical Methods for Geographers. John Wiley Sons, New York.
11. Conforti, M., Robustelli, G., Muto, F., Critelli, S., 2011. Application and validation of bivariate GIS-based landslide susceptibility assessment for the Vitravo river catchment (Calabria, south Italy). Nat. Hazards. http://dx.doi.org/10.1007/s11069-011-9781-0.
12. Corsini, A., Cervi, F., Ronchetti, F., 2009. Weight of evidence and artificial neural networks for potential groundwater spring mapping: an application to the Mt. Modino area (Northern Apennines, Italy). Geomorphology 111, 79-87.
13. Dai, F.C., Lee, C.F., Xu, Z.W., 2001. Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong. Environ. Geol. 40 (3), 381-391.
14. Demirkol, C., Sipahi, H., Çiçek, S., Barka, A., Sönmez, Ş., 1977. Sultandaǧi{dotless}ni{dotless}n stratigrafisi ve jeoloji evrimi. Maden Tetkik ve Arama Enstitüsü, Rapor No: 6305 (in Turkish).
15. El Khattabi, J., Carlier, E., 2004. Tectonic and hydrodynamic control of landslides in the northern area of the Central Rif, Morocco. Eng. Geol. 71 (3-4), 255-264.
16. Fernandes, N.F., Guimaraes, R.F., Gomes, R.A.T., Vieira, B.C., Montgomery, D.R., Greenberg, H., 2004. Topographic controls of landslides in Rio de Janeiro: field evidence and modelling. Catena 55, 163-181.
17. Fourniadis, I.G., Liu, J.G., Mason, P.J., 2007. Landslide hazard assessment in the three Gorges area, China, using ASTER imagery: Wushan-Badong. Geomorphology 84, 126-144.
18. Galli, M., Ardizzone, F., Cardinali, M., Guzzetti, F., Reichenbach, R., 2008. Comparing landslide inventory maps. Geomorphology 94, 268-289.
19. Gemitzi, A., Falalakis, G., Eskioglou, P., Petalas, C., 2010. Evaluating landslide susceptibility using environmental factors, fuzzy membership functions and gis. Global Nest J. 12 (4), 1-13, .
20. Gokceoglu, C., Sonmez, H., Nefeslioglu, H.A., Duman, T.Y., Can, T., 2005. The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity. Eng. Geol. 81, 65-83.
21. Guzzetti, F., Reichenbach, P., Ardizzone, F., Cardinali, M., Galli, M., 2006. Estimating the quality of landslide susceptibility models. Geomorphology 81, 166-184.
22. Guzzetti, F., Reichenbach, P., Cardinali, M., Galli, M., Ardizzone, F., 2005. Landslide hazard assessment in the Staffora basin, Northern Italian Apennines. Geomorphology 72, 272-299.
23. Havenith, H.-B., Strom, A., Caceres, F., Pirard, E., 2006. Analysis of landslide susceptibility in the Suusamyr region, Tien Shan: statistical and geotechnical approach. Landslides 3, 39-50.
24. Hosmer, D.W., Lemeshow, S., 2000. Applied Logistic Regression, second ed. John Wiley and Sons, Inc., NewYork, 375p, .
25. ILWIS, 2001. ILWIS 3.0 User's Guide. Aerospace Survey and Earth Sciences (ITC) Enschede, The Netherlands, 530 pp.
26. Intarawichian, N., 2008. A comparative study of analytical hierarchy process and probability analysis for landslide susceptibility zonation in lower Mae Chaem Watershed, Northern Thailand. A PhD thesis in Geoinformatics Suranaree University of Technology. .
27. Intarawichian, N., Dasananda, S., 2011. Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, Northern Thailand. Environ. Earth Sci.. http://dx.doi.org/10.1007/s12665-011-1055-3.
28. Iverson, R.M., Reid, M.E., La Husen, R.G., 1997. Debris flow mobilization from landslides. Ann. Rev. Earth Planet. Sci. 25, 85-138.
29. Kanungo, D.P., Arora, M.K., Sarkar, S., Gupta, R.P., 2006. A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas. Eng. Geol. 85, 347-366.
30. Khanh, N.Q., 2009. Landslide hazard assessment in muonglay, Vietnam applying GIS and remote sensing. Dr.rer. nat. at the Faculty of Mathematics and Natural Sciences Ernst-Moritz-Arndt-University Greifswald. .
31. Lee, S., 2005. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. Int. J. Remote Sens. 26 (7), 1477-1491.
32. Lee, S., Sambath, T., 2006. Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ. Geol. 50, 847-855.
33. Lee, S., Pradhan, B., 2007. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides 4, 33-41.
34. Lee, S., Talib, J.A., 2005. Probabilistic landslide susceptibility and factor effect analysis. Environ. Geol. 47, 982-990.
35. Long, N.T., 2008. Landslide susceptibility Mapping of the mountainous area in a Luoi district, Thua thien Hue Province, Vietnam. Universiteit Brussel, Faculty of Engineering, Department of Hydrology and Hydraulic Engineering. PhD Thesis. 229p.
36. Mathew, J., Jha, V.K., Rawat, G.S., 2007. Application of binary logistic regression analysis and its validation for landslide susceptibility mapping in part of Garhwal Himalaya, India. Int. J. Remote Sensing 28 (10), 2257-2275.
37. Menard, S. 2002. Applied Logistic Regression Analysis. SAGE University Paper. 111 p.
38. Nagarajan, R., Roy, A., Vinod Kumar, R., Mukherjee, A., Khire, M.V., 2000. Landslide hazard susceptibility mapping based on terrain and climatic factors for tropical monsoon regions. Bull. Eng. Geol. Environ. 58, 275-287.
39. Nandi, A., Shakoor, A., 2009. A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Eng. Geol. 110, 11-20.
40. Nefeslioglu, H.A., Gokceoglu, C., Sonmez, H., 2008. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Eng. Geol. 97, 171-191.
41. Neuhäuser, B., Terhorst, B., 2007. Landslide susceptibility assessment using weights-of-evidence applied to a study area at the Jurassic escarpment (SWGermany). Geomorphology 86, 12-24.
42. Oh, H.-J., Lee, S., 2010. Assessment of ground subsidence using GIS and the weightsof- evidence model. Eng. Geol. 115, 36-48.
43. Oh, H.-J., Kim, Y.-S., Choi, J.-K., Lee, S., 2011. GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. J. Hydrol. 399, 158-172.
44. Oh, H.-J., Lee, S., Soedradjat, G., 2010. Quantitative landslide susceptibility mapping at Pemalang area, Indonesia. Environ. Earth Sci. 60, 1317-1328.
45. Ozdemir, A., 2009. Landslide susceptibility mapping of vicinity of Yaka Landslide (Gelendost, Turkey) using conditional probability approach in GIS. Environ. Geol. 57, 1675-1686.
46. Ozdemir, A., 2011. Landslide susceptibility mapping using Bayesian approach in the Sultan Mountains (Akşehir, Turkey). Nat. Hazards. http://dx.doi.org/10.1007/s11069-011-9853-1.
47. Poudyal, C.P., Chang, C., Oh, H.-J., Lee, S., 2010. Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya. Environ. Earth Sci. 61, 1049-1064.
48. Pradhan, B., 2011. Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling. Environ. Ecol. Stat. 18, 471-493. http://dx.doi.org/10.1007/s10651-010-0147-7.
49. Pradhan, B., Lee, S., 2010. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environ. Earth Sci. 60, 1037-1054.
50. Radbruch-Hall, 1982. Landslide overview map of the conterminous United States. USGS Professional Paper 1183 United States Government Printing Office, Washington.
51. Regmi, N.R., Giardino, J.R., Vitek, J.D., 2010. Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 115, 172-187.
52. Remondo, J., González-Díez, A., Diaz De Terán, J.R., Cendrero, A., 2003. Landslide susceptibility models utilising spatial data analysis techniques. A Case Study from the Lower Deba Valley, Guipúzcoa (Spain). Nat. Hazards 30 (3), 267-279.
53. Sidle, R.C., Ochiai, H. 2006. Landslides: processes, prediction, and landuse. American Geophysical Union, Washington, DC. Water Resources Monograph No. 18: 312 pp.
54. SPSS, 2004. SPSS 13.0 Command Sintax Reference. SPSS Inc., Chicago, 1994p.
55. Tangestani, H.M., 2004. Landslide susceptibility mapping using the fuzzy gamma approach in a GIS, Kakan catchment area, southwest Iran. Aust. J. Earth Sci. 51 (3), 439-450.
56. Uromeihy, A., Mahdavifar, M.R., 2000. Landslide hazard zonation of the Khorshrostam area, Iran. Bull. Eng. Geol. Environ. 58 (3), 207-213.
57. Van Den Eeckhaut, M., Vanwalleghem, T., Poesen, J., Govers, G., Verstraeten, G., Vandekerckhove, L., 2006. Prediction of landslide susceptibility using rare events logistic regression: A case-study in the Flemish Ardennes (Belgium). Geomorphology 76, 392-410.
58. Van Den Eeckhaut, M., Marre, A., Poesen, J., 2010. Comparison of two landslide susceptibility assessments in the Champagne-Ardenne region (France). Geomorphology 115, 141-155.
59. van Westen, C.J., Rengers, N., Soeters, R., 2003. Use of geomorphological information in indirect landslide assessment. Nat. Hazards 30, 399-419.
60. Varnes, D.J., 1984. IAEG Commission on Landslides and other Mass-Movements, Landslide hazard zonation: a review of principles and practice. The UNESCO Press, Paris, 63p.
61. Wilson, J.P., Gallant, J.G., 2000. Terrain Analysis Principles and Applications. John Wiley and Sons, Inc., New-York, 479p.
62. Yalcin, A., Reis, S., Aydinoglu, A.C., Yomralioglu, T., 2011. A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. Catena 85, 274-287.
63. Yeon, Y.-K., Han, J.-G., Ryu, K.H., 2010. Landslide susceptibility mapping in Injae, Korea, using a decision tree. Eng. Geol. 116, 274-283.
64. Yesilnacar, E., Topal, T., 2005. Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey). Eng. Geol. 79 (3-4), 251-266.
65. Yilmaz, I., 2007. GIS based susceptibility mapping of karst depression in gypsum: a case study from Sivas basin (Turkey). Eng. Geol. 90, 89-103.
66. Yilmaz, I., 2009. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey). Comput. Geosci. 35, 1125-1138.
67. Yilmaz, I., 2010a. Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environ. Earth Sci. 61, 821-836.
68. Yilmaz, I., 2010b. The effect of the sampling strategies on the landslide susceptibility mapping by Conditional Probability (CP) and Artificial Neural Networks (ANN). Environ. Earth Sci. 60 (3), 505-519.
69. Zhu, L., Huang, J., 2006. GIS-based logistic regression method for landslide susceptibility mapping in regional scale. J. Zhejiang Univ.-Sci. A 7, 2007-2017.