GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China

Environmental Earth Sciences

Volumn 62, Issue 1, 2011, Pages 139-149

  Bai, Shibiao ^a   Lü, Guonian ^a   Wang, Jian ^a   Zhou, Pinggen ^b   Ding, Liang ^a  

^a NANJING NORMAL UNIVERSITY   (China)

^b CHINA INSTITUTE OF GEO ENVIRONMENT MONITORING   (China)

Author keywords

China; GIS; Landslide susceptibility; Rare events logistic regression

Indexed keywords

ANALYSIS AND MODELING; CHINA; DIGITAL ELEVATION MODEL; FIELD INVESTIGATION; GEOLOGICAL MAP; GIS; GIS LAYERS; HUMAN LIVES; LANDSLIDE SUSCEPTIBILITY; LOCAL ECONOMIC DEVELOPMENT; LOGISTIC REGRESSIONS; MITIGATION MEASURES; MONOSCOPIC; RARE EVENT; ROAD NET; STUDY AREAS; SUSCEPTIBILITY MAPPING; TRAINING SETS;

REGRESSION ANALYSIS; RISK ASSESSMENT;

LANDSLIDES;

DATA SET; DIGITAL ELEVATION MODEL; ECONOMIC DEVELOPMENT; FIELD METHOD; GEOLOGICAL MAPPING; GIS; LANDSLIDE; ORTHOPHOSPHATE; REGRESSION ANALYSIS; RISK ASSESSMENT;

CHINA; JIANGSU; LIANYUNGANG;

EID: 79551623612     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-010-0509-3     Document Type: Article

References (39)

1. Akgun A, Bulut F (2007) GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environ Geol 51: 1377-1387.
2. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58: 21-44.
3. Allison PD (2001) Logistic regression using the SAS system: theory and application. Wiley Interscience, New York, p 288.
4. Atkinson PM, Massari R (1998) Generalized linear modeling of susceptibility to landsliding in the central Apennines, Italy. Comput Geosci 24: 373-385.
5. Ayalew L, Yamagishi H, Marui H, Kanno T (2005) Landslides in Sado Island of Japan Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications. Eng Geol 81: 432-445.
6. Bai SB, Wang J, Lü GN, Zhou PG, Hou SS, Xu SN (2009) GIS-based and data-driven bivariate landslide-susceptibility mapping in the Three Gorges area, China. Pedosphere 19(1): 14-20.
7. Bai SB, Wang J, Lü GN, Zhou PG, Hou SS, Xu SN (2010) GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China. Geomorphology 115: 23-31.
8. Bell R, Glade T (2004) Quantitative risk analysis for landslides-examples from Bdudalur, NW-Iceland. Nat Hazard Earth Syst Sci 4(1): 117-131.
9. Can T, Nefeslioglu HA, Gokceoglu C, Sonmez H, Duman TY (2005) Susceptibility assessments of shallow earthflows triggered by heavy rainfall at three subcatchments by logistic regression analyses. Geomorphology 72: 250-271.
10. Chang K-T, Chiang S-H, Hsu M-L (2007) Modeling typhoon- and earthquake-induced landslides in a mountainous watershed using logistic regression. Geomorphology 89: 335-347.
11. Chung CF, Kojima H, Fabbri AG (2002) Stability analysis of prediction models for landslide hazard mapping. In: Allison RJ (ed) Applied geomorphology: theory and practice. Wiley, London, pp 1-19.
12. Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Shuster RL (eds) Landslides: investigation and mitigation. Transp Res Board, Special Report 247, pp 36-75.
13. Dai FC, Lee CF (2002) Landslide characteristics and slope instability modeling using GIS Lantau Island, Hong Kong. Geomorphology 42: 213-238.
14. Dai FC, Lee CF, Li J, Xu ZW (2001) Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong. Environ Geol 40: 381-391.
15. Domínguez-Cuesta MJ, Jiménez-Sánchez M, Berrezueta E (2007) Landslides in the central coalfield (Cantabrian Mountains, NW Spain): geomorphological features, conditioning factors and methodological implications in susceptibility assessment. Geomorphology 89: 358-369.
16. Duman TY, Can T, Gokceoglu C, Nefeslioglu HA, Sonmez H (2006) Application of logistic regression for landslide susceptibility zoning of Cekmece Area, Istanbul, Turkey. Environ Geol 51: 241-256.
17. García-Rodríguez MJ, Malpica JA, Benito B, Díaz M (2008) Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression. Geomorphology 95: 172-191.
18. Glade T (2005) Linking debris-flow hazard assessments with geomorphology. Geomorphology 66: 189-213.
19. Greco R, Sorriso-Valvo M, Catalano E (2006) Logistic regression analysis in the evaluation of mass movements susceptibility: the Aspromonte case study, Calabria, Italy. Eng Geol 89: 47-66.
20. Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, central Italy. Geomorphology 31: 181-216.
21. Guzzetti P, Reichenbach M, Cardinali M, Ardizzone GalliF (2005) Landslide hazard assessment in the Staffora basin, northern Italian Apennines. Geomorphology 72: 272-299.
22. Hosmer DW, Lemeshow S (1989) Applied Regression Analysis. Wiley, New York, p 307.
23. Imai K, King G, Lau OK (2005) Zelig: everyone's statistical software, Version 2. 1-3, User's manual. 197 pp. (http://gking. harvard. edu/zelig/docs/zelig. pdf).
24. Keefer DK (1984) Landslides caused by earthquakes. Bull Geol Soc Am 95: 406-421.
25. King G, Zeng L (2001) Logistic regression in rare events data. Political Anal 9: 37-163.
26. Lee S, Min K (2001) Statistical analysis of landslide susceptibility at Yongin, Korea. Environ Geol 40: 1095-1113.
27. Menard SW (1995) Applied logistic regression analysis. SAGE Publication, Inc, Thousand Oaks.
28. Moore ID, Burch GJ (1986) Sediment transport capacity of sheet and rill flow: application of unit stream power theory. Water Resour Res 22: 1350-1360.
29. Moore ID, Grayson RB, Ladson AR (1991) Digital terrain modeling: a review of hydrological, geomorphological, and biological applications. Hydrol Process 5: 3-30.
30. Nefeslioglu HA, 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.
31. Ohlmacher CG, Davis CJ (2003) Using multiple regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Eng Geol 69: 331-343.
32. Soeters R, van Westen CJ (1996) Slope instability recognition analysis and zonation. In: Turner KT, Schuster RL (eds) Landslides: investigation and mitigation. Transportation Research Board National Research Council, Special Report, Washington, DC, pp 129-177.
33. Süzen ML, Doyuran V (2004a) Data driven bivariate landslide susceptibility assessment using Geographical Information Systems: a method and application to Asarsuyu catchment, Turkey. Eng Geol 71: 303-321.
34. Süzen ML, Doyuran V (2004b) A Comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate. Environ Geol 45: 665-679.
35. 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.
36. van Westen CJ, Lulie Getahun F (2003) Analyzing the evolution of the Tessina landslide using aerial photographs and digital elevation models. Geomorphology 54: 77-89.
37. van Westen CJ, Castellanos Enrique, Kuriakose SekharL (2008) Spatial data for landslide susceptibility, hazard, and vulnerability assessment: an overview. Eng Geol 102: 112-131.
38. Varnes DJ (1978) Slope movement types and processes. In: Schuster RL, Krizek RJ (eds) Landslides, analysis and control. Transportation Research Board Sp. Rep. No. 176, National Academy of Sciences, Philadelphia, pp 11-33.
39. 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: 251-266.