1. Akbari, A., et al. (2014) , Landslide Susceptibility Mapping Using Logistic Regression Analysis and GIS Tools, Electron. J. Geotech. Eng., 19, p. 1687-1696

2. Atkinson, P. M., R. Massari (1998) , Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy, Comput. Geosci., 24, no. 4, p. 373-385, https://doi.org/10.1016/S0098-3004(97)00117-9

3. Ayalew, L., H. Yamagishi, N. Ugawa (2004) , Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan, Landslides, 1, no. 1, p. 73-81, https://doi.org/10.1007/s10346-003-0006-9 EDN: https://elibrary.ru/EBQQTL

4. Aydin, A., R. Eker (2016) , Fuzzy rule-based landslide susceptibility mapping in Yiugi lca Forest District (Northwest of Turkey), J. J. Fac. For. Istanbul Univ. Anahtar Kelimeler FIS, 66, no. 662, p. 559-571, https://doi.org/10.17099/jffiu.48480

5. Baban, S. M. J., K. J. Sant (2005) , Mapping landslide susceptibility for the Caribbean island of Tobago using GIS, multi-criteria evaluation techniques with a varied weighted approach, Caribb. J. Earth Sci., 38, p. 11-20

6. Coe, J. A., J. W. Godt, R. L. Baum (2004) , Landslide susceptibility from topography in Guatemala, Proc. 9th Int. Symp. Landslides, p. 69-79, Balkema, Leiden, London

7. Cruden, D. M., D. J. Varnes (1996) , Landslides: investigation and mitigation. Chapter 3 - Landslide types and processes, Transportation Research Board Special Report, no. 247, p. 76

8. Dzeboev, B. A., R. I. Krasnoperov (2018) , On the monitoring of seismic activity using the algorithms of discrete mathematical analysis, Russ. J. Earth Sci., 18, no. 3, p. ES3003, https://doi.org/10.2205/2018ES000623 EDN: https://elibrary.ru/XSJQXJ

9. Ercanoglu, M. (2005) , Landslide susceptibility assessment of SE Bartin (West Black Sea region, Turkey) by artificial neural networks, Nat. Hazards Earth Syst. Sci., 5, no. 6, p. 979-992, https://doi.org/10.5194/nhess-5-979-2005

10. Feizizadeh, B., T. Blaschke (2014) , Uncertainty Analysis of GIS-based Ordered Weighted Averaging Method for Landslide Susceptibility Mapping in Urmia Lake Basin, Iran, Comput. Geosci., 73, p. 208-221

11. Fomenko, I. K., O. V. Zerkal (2017) , The Application of Anisotropy of Soil Properties in the Probabilistic Analysis of Landslides Activity, Procedia Eng., 189, p. 886-892, https://doi.org/10.1016/j.proeng.2017.05.138 EDN: https://elibrary.ru/XNBKCC

12. Gvishiani, A. D., F. S. Roberts, I. A. Sheremet (2018) , On the assessment of sustainability of distributed sociotechnical systems to natural disasters, Russ. J. Earth Sci., 18, no. 4, p. ES4004, https://doi.org/10.2205/2018ES000627 EDN: https://elibrary.ru/YBHHZB

13. Haque, U., et al. (2016) , Fatal landslides in Europe, Landslides, 13, no. 6, p. 1545-1554, https://doi.org/10.1007/s10346-016-0689-3 EDN: https://elibrary.ru/YUKKAF

14. Highland, L. (2009) , Economic and Social Impacts of Landslides, Landslides - Disaster Risk Reduction, K. Sassa and P. Canuti (eds.), p. 573-587, Springer, Berlin, Heidelberg

15. Hungr, O., S. Leroueil, L. Picarelli (2014) , The Varnes classification of landslide types, an update, Landslides, 11, no. 2, p. 167-194, https://doi.org/10.1007/s10346-013-0436-y EDN: https://elibrary.ru/SOODOL

16. Ismail-Zadeh, A. T. (2016) , Geohazard research, modeling, and assessment for disaster risk reduction, Russ. J. Earth Sci., 16, no. 3, p. ES3002, https://doi.org/10.2205/2016ES000572 EDN: https://elibrary.ru/WMODYT

17. Korzhenevsky, V. V., et al. (2017) , Natural reserves of the Kerch peninsula: problems and prospects, Tambov Univ. Reports. Ser. Nat. Tech. Sci., 22, no. 5-1, p. 930-934, https://doi.org/10.20310/1810-0198-2017-22-5-930-934 (in Russian)

18. Krivoguz, D. O. (2019) , Validation of landslide susceptibility map using ROCR package in R, Materialy II Nacional'noj nauchno-prakticheskoj konferencii, posvjashhennoj 20-letiju kafedry jekologii morja FGBOU VO "KGMTU", p. 188-192, Arial, Kerch (in Russian) EDN: https://elibrary.ru/ZYCESG

19. Krivoguz, D., L. Bespalova (2017) , Spatial analysis of topography of Kerch peninsula using GIS and its impact on landslides, Int. J. Prof. Sci., no. 6, p. 19-32

20. Krivoguz, D., L. Bespalova (2018) , Analysis of Kerch peninsula's climatic parameters in scope of landslide susceptibility, Vestn. Kerchenskogo Gos. Morskogo Tehnol. Univ., no. 2, p. 5-11

21. Krivoguz, D. O., D. N. Burtnik (2018) , Neural network modeling of changes in the land cover of the Kerch peninsula in the context of landslides occurence, Nauchno-tekhnicheskiy Vestn. Bryanskogo Gos. Univ., 4, no. 1, p. 113-121, https://doi.org/10.22281/2413-9920-2018-04-01-113-121 (in Russian)

22. Lee, S., M.-J. Lee, H.-S. Jung (2017) , Data Mining Approaches for Landslide Susceptibility Mapping in Umyeonsan, Seoul, South Korea, Appl. Sci., 7, no. 7, p. 683, https://doi.org/10.3390/app7070683

23. Mancini, F., C. Ceppi, G. Ritrovato (2010) , GIS and statistical analysis for landslide susceptibility mapping in the Daunia area, Italy, Nat. Hazards Earth Syst. Sci., 10, p. 1851-1864, https://doi.org/10.5194/nhess-10-1851-2010

24. Matishov, G. G., et al. (2016) , The Sea of Azov: Recent abrasion processes and problems of coastal protection, Dokl. Earth Sci., 471, no. 2, p. 1269-1272, https://doi.org/10.1134/S1028334X16120059 EDN: https://elibrary.ru/YUYYZH

25. Nawaz Khan, A. (2001) , Impact of landslide hazard on housing and related socio-economic characteristics in Murree (Pakistan), Pak. Econ. Soc. Rev., XXXIX, no. 1, p. 57-74

26. Nikolic, T. (2015) , Direct and Indirect Impact of Landslide on Environment, Engineering Geology for Society and Territory - Volume 5, p. 1237-1241, Springer International Publishing, Cham, https://doi.org/10.1007/978-3-319-09048-1_236

27. Nikolov, B. P., et al. (2015) , Integration of data mining methods for Earth science data analysis in GIS environment, Russ. J. Earth Sci., 15, no. 4, p. ES4004, https://doi.org/10.2205/2015ES000559 EDN: https://elibrary.ru/VCPAIN

28. Pande, A., R. C. Joshi, D. S. Jalal (2002) , Selected landslide types in the Central Himalaya: Their relation to geological structure and anthropogenic activities, Environmentalist, 22, no. 3, p. 269-287, https://doi.org/10.1023/A:1016536013793

29. Peshkov, V. M. (2015) , Modern state and perspectives of protection of the Black and Azov Seas coasts in the Krasnodar region, Ecol. Saf. Coast. Shelf Zo. Sea, 1, p. 12-19

30. Ramos-Cañón, A. M., et al. (2016) , Linear discriminant analysis to describe the relationship between rainfall and landslides in Bogotá, Colombia, Landslides, 13, no. 4, p. 671-681, https://doi.org/10.1007/s10346-015-0593-2

31. Rybkina, A. I., Y. V. Rostovtseva (2017) , New evidence of the age of the Black Sea Pontian substage, Russ. J. Earth Sci., 17, no. 5, p. ES5004, https://doi.org/10.2205/2017ES000613 EDN: https://elibrary.ru/YNITJI

32. Sanda, R., et al. (2016) , Comparative assessment of landslide susceptibility. Case study: the Niraj river basin (Transylvania depression, Romania), Geomatics, Nat. Hazards Risk, 7, no. 3, p. 1043-1064, https://doi.org/10.1080/19475705.2015.1030784

33. Shubina, D. D., I. K. Fomenko, D. N. Gorobtsov (2017) , The Specifities of Landslides Danger Assessment Accepted in Eurocode, Procedia Eng., 189, p. 51-58, https://doi.org/10.1016/j.proeng.2017.05.009 EDN: https://elibrary.ru/XMXJQE

34. Tazik, E., et al. (2014) , Landslide susceptibility mapping by combining the three methods Fuzzy Logic, Frequency Ratio and Analytical Hierarchy Process in Dozain basin, ISPRS - Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., XL-2/W3, p. 267-272, https://doi.org/10.5194/isprsarchives-XL-2-W3-267-2014

35. Tibaldi, A., L. Ferrari, G. Pasquarè (1995) , Landslides triggered by earthquakes and their relations with faults and mountain slope geometry: an example from Ecuador, Geomorphology, 11, no. 3, p. 215-226, https://doi.org/10.1016/0169-555X(94)00060-5

36. Torgoev, I., R. Niyazov, H. B. Havenith (2013) , Tien-Shan landslides triggered by earthquakes in Pamir-Hindukush zone, Landslide Science and Practice: Complex Environment, p. 191-197, Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-642-31427-8_25 EDN: https://elibrary.ru/XLAZMN

37. Vahidnia, M. H., et al. (2009) , Landslide Hazard Zonation Using Quantitative Methods in GIS, Int. J. Civ. Eng., 7, no. 3, p. 176-189

38. van Westen, C. (1997) , Statistical landslide hazard analysis, Ilwis, 2, p. 1-10

39. van Westen, C. J., E. Castellanos, S. L. Kuriakose (2008) , Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview, Eng. Geol., 102, no. 3-4, p. 112-131, https://doi.org/10.1016/j.enggeo.2008.03.010 EDN: https://elibrary.ru/YAXCPF