- Abstract
- 1. Introduction
- 2. Study Area
- 3. Data and Methodology
- 4. Results and Discussion
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https://www.riss.kr/link?id=A102637863
Yoo, Youngwoo (동의대학교) ; Baek, Taekyung ; Kim, Jinsoo ; Park, Soyoung
2016
English
533
SCOPUS,KCI등재
학술저널
597-607(11쪽)
0
0
상세조회0
다운로드목차 (Table of Contents)
참고문헌 (Reference)
1 오현주, "항공사진을 이용한 산사태 탐지 및 인공신경망을 이용한 산사태 취약성 분석" 대한원격탐사학회 26 (26): 47-57, 2010
2 이명진, "미래 확률강우량 및 인공신경망을 이용한 산사태 위험도 분석 기법 개발 및 검증" 한국지리정보학회 15 (15): 57-70, 2012
3 연영광, "로지스틱 회귀분석 기법을 이용한 강원도 산사태 취약성 평가 및 분석" 한국지리정보학회 14 (14): 116-127, 2011
4 Awasthi, A., "Using AHP and Dempster–Shafer theory for evaluating sustainable transport solutions" 26 (26): 787-796, 2011
5 Gerath, R., "Terrain stability mapping in British Columbia" Earth Science Task Force of the British Columbia Resources Inventory Committee 1996
6 Busan Metropolitan City Namgu, "Statistics annual report"
7 Bui, D. T., "Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models" 96 : 28-40, 2012
8 Schuster, R. L., "Socioeconomic significance of landslides, Landslides: Investigation and Mitigation" National Academy Press 12-35, 1996
9 Pourghasemi, H.R., "Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran" 75 (75): 1-17, 2016
10 Hong, H., "Rainfall-induced landslide susceptibility assessment at the Chongren area (China)using frequency ratio, certainty factor, and index of entropy" 1-16, 2016
1 오현주, "항공사진을 이용한 산사태 탐지 및 인공신경망을 이용한 산사태 취약성 분석" 대한원격탐사학회 26 (26): 47-57, 2010
2 이명진, "미래 확률강우량 및 인공신경망을 이용한 산사태 위험도 분석 기법 개발 및 검증" 한국지리정보학회 15 (15): 57-70, 2012
3 연영광, "로지스틱 회귀분석 기법을 이용한 강원도 산사태 취약성 평가 및 분석" 한국지리정보학회 14 (14): 116-127, 2011
4 Awasthi, A., "Using AHP and Dempster–Shafer theory for evaluating sustainable transport solutions" 26 (26): 787-796, 2011
5 Gerath, R., "Terrain stability mapping in British Columbia" Earth Science Task Force of the British Columbia Resources Inventory Committee 1996
6 Busan Metropolitan City Namgu, "Statistics annual report"
7 Bui, D. T., "Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models" 96 : 28-40, 2012
8 Schuster, R. L., "Socioeconomic significance of landslides, Landslides: Investigation and Mitigation" National Academy Press 12-35, 1996
9 Pourghasemi, H.R., "Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran" 75 (75): 1-17, 2016
10 Hong, H., "Rainfall-induced landslide susceptibility assessment at the Chongren area (China)using frequency ratio, certainty factor, and index of entropy" 1-16, 2016
11 Korean Statistical Information Service, "Present condition of landslide damage"
12 Su, C., "Mapping of rainfall-induced landslide susceptibility in Wencheng, China, using support vector machine" 76 (76): 1759-1779, 2015
13 Moore, I. D., "Length-slope factors for the Revised Universal Soil Loss Equation: Simplified method of estimation" 47 (47): 423-428, 1992
14 Yilmaz, I., "Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat—Turkey)" 35 (35): 1125-1138, 2009
15 Lee, S., "Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models" 50 (50): 847-855, 2006
16 Mohammady, M., "Landslide susceptibility mapping at Golestan Province, Iran: a comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models" 61 : 221-236, 2012
17 Lee, S., "Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models" 4 (4): 33-41, 2007
18 장동호, "GIS 기반 베이지안 예측모델을 이용한 보은지역의 산사태 취약성 분석" 한국지형학회 11 (11): 13-24, 2004
19 Moore, I. D., "Digital terrain modelling: a review of hydrological, geomorphological, and biological applications" 5 (5): 3-30, 1991
20 Saito, H., "Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: the Akaishi Mountains, Japan" 109 (109): 108-121, 2009
21 Wang, H.B., "Comparative evaluation of landslide susceptibility in Minamata area, Japan" 47 (47): 956-966, 2005
22 Ermini, L., "Artificial neural networks applied to landslide susceptibility assessment" 66 (66): 327-343, 2005
23 Lee, S., "Application of datadriven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea" 100 : 15-30, 2013
24 Althuwaynee, O. F., "Application of an evidential belief function model in landslide susceptibility mapping" 44 : 120-135, 2012
25 Fawcett, T., "An introduction to ROC analysis" 27 (27): 861-874, 2006
26 Cruden, D. M., "A simple definition of a landslide" 43 (43): 27-29, 1991
27 Beven, K.J., "A physically based, variable contributing area model of basin hydrology" 24 (24): 43-69, 1979
28 Süzen, M.L., "A comparison of the GIS based landslide susceptibility assessment methods:multivariate versus bivariate" 45 (45): 665-679, 2004
29 Williams, C. J., "A comparison of statistical methods for prenatal screening for Down syndrome" 15 (15): 89-101, 1999
30 Akgun, A., "A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey" 9 (9): 93-106, 2012
31 Pradhan, B., "A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS" 51 : 350-365, 2013
32 Tangestani, M. H., "A comparative study of Dempster–Shafer and fuzzy models for landslide susceptibility mapping using a GIS: An experience from Zagros Mountains, SW Iran" 35 (35): 66-73, 2009
33 Pourghasemi, H. R., "A comparative assessment of prediction capabilities of Dempster–Shafer and weights-of-evidence models in landslide susceptibility mapping using GIS" 4 (4): 93-118, 2013
34 Yalcin, A., "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" 85 (85): 274-287, 2011
A Spatial-temporal POI Data Model for Implementing Location-based Services
학술지 이력
연월일 | 이력구분 | 이력상세 | 등재구분 |
---|---|---|---|
2023 | 평가예정 | 해외DB학술지평가 신청대상 (해외등재 학술지 평가) | |
2020-01-01 | 평가 | 등재학술지 유지 (해외등재 학술지 평가) | ![]() |
2010-01-01 | 평가 | 등재학술지 유지 (등재유지) | ![]() |
2005-01-01 | 평가 | 등재학술지 선정 (등재후보2차) | ![]() |
2004-01-01 | 평가 | 등재후보 1차 PASS (등재후보1차) | ![]() |
2002-01-01 | 평가 | 등재후보학술지 선정 (신규평가) | ![]() |
학술지 인용정보
기준연도 | WOS-KCI 통합IF(2년) | KCIF(2년) | KCIF(3년) |
---|---|---|---|
2016 | 0.66 | 0.66 | 0.55 |
KCIF(4년) | KCIF(5년) | 중심성지수(3년) | 즉시성지수 |
0.53 | 0.47 | 0.698 | 0.28 |