메뉴 건너뛰기




Volumn 22, Issue 3, 2007, Pages 323-331

Using landscape analysis to assess and model tsunami damage in Aceh province, Sumatra

Author keywords

Classification and regression trees; Developed areas; Forests; Indonesia; Mangroves; Modeling damage; Prediction; Random forests; Tsunami damage; Tsunami warning

Indexed keywords

DISASTER MANAGEMENT; EARTHQUAKE; EARTHQUAKE DAMAGE; INDIAN OCEAN TSUNAMI 2004; LANDSCAPE; MODELING; NATURAL DISASTER; PREDICTION; RISK ASSESSMENT; TSUNAMI;

EID: 33847336029     PISSN: 09212973     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10980-006-9062-6     Document Type: Article
Times cited : (55)

References (23)
  • 1
    • 33847638434 scopus 로고    scopus 로고
    • US Agency for International Development. Washington, D.C. 28 pp
    • Barber B (2005) Tsunami relief. US Agency for International Development. Washington, D.C. 28 pp
    • (2005) Tsunami relief
    • Barber, B.1
  • 2
    • 11844272600 scopus 로고    scopus 로고
    • In wake of disaster, scientists seek out clues to prevention
    • Bhattacharjee Y (2005) In wake of disaster, scientists seek out clues to prevention. Science 307:22-23
    • (2005) Science , vol.307 , pp. 22-23
    • Bhattacharjee, Y.1
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L (2001) Random forests. Mach Learn 45:5-32
    • (2001) Mach Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 8
    • 3342969032 scopus 로고    scopus 로고
    • Food and Agriculture Organization , United Nations Food and Agriculture Organization, Rome
    • Food and Agriculture Organization (2003) State of the World's Forests. United Nations Food and Agriculture Organization, Rome
    • (2003) State of the World's Forests
  • 9
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Friedman JH (2001) Greedy function approximation: a gradient boosting machine. Ann Stat 29(5):1189-1232
    • (2001) Ann Stat , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 10
    • 0037186544 scopus 로고    scopus 로고
    • Stochastic gradient boosting
    • Friedman JH (2002) Stochastic gradient boosting. Comput Stat Data Anal 38(4):367-378
    • (2002) Comput Stat Data Anal , vol.38 , Issue.4 , pp. 367-378
    • Friedman, J.H.1
  • 12
    • 0037380148 scopus 로고    scopus 로고
    • Fuzzy set approach to assessing similarity of categorical maps
    • Hagen A (2003) Fuzzy set approach to assessing similarity of categorical maps. Int J Geogr Inform Sci 17:235-249
    • (2003) Int J Geogr Inform Sci , vol.17 , pp. 235-249
    • Hagen, A.1
  • 14
    • 31344431711 scopus 로고    scopus 로고
    • New machine learning tools for predictive vegetation mapping after climate change: Bagging and Random Forest perform better than regression tree analysis
    • Smithers R ed, Cirencester, UK, pp
    • Iverson LR, Prasad AM, Liaw A (2004) New machine learning tools for predictive vegetation mapping after climate change: Bagging and Random Forest perform better than regression tree analysis. In: Smithers R (ed) Proceedings, UK-International Association for Landscape Ecology. Cirencester, UK, pp 317-320
    • (2004) Proceedings, UK-International Association for Landscape Ecology , pp. 317-320
    • Iverson, L.R.1    Prasad, A.M.2    Liaw, A.3
  • 15
    • 23844502325 scopus 로고    scopus 로고
    • Estimation of tsunami risk for the coasts of Peru and Northern Chile
    • Kulikov EA, Rabinovich AB, Thomson RE (2005) Estimation of tsunami risk for the coasts of Peru and Northern Chile. Nat Hazards 35(2):185-209
    • (2005) Nat Hazards , vol.35 , Issue.2 , pp. 185-209
    • Kulikov, E.A.1    Rabinovich, A.B.2    Thomson, R.E.3
  • 16
    • 0027091362 scopus 로고
    • Comparing global vegetation maps with the Kappa statistic
    • Monserud RA, Leemans R (1992) Comparing global vegetation maps with the Kappa statistic. Ecol Modell 62:275-293
    • (1992) Ecol Modell , vol.62 , pp. 275-293
    • Monserud, R.A.1    Leemans, R.2
  • 17
    • 0343303373 scopus 로고    scopus 로고
    • Pontius RG (2000) Quantification error versus location error in comparison of categorical maps. Photogramm Eng Rem S 66:1011-1016
    • Pontius RG (2000) Quantification error versus location error in comparison of categorical maps. Photogramm Eng Rem S 66:1011-1016
  • 18
    • 33645330972 scopus 로고    scopus 로고
    • Newer classification and regression tree techniques: Bagging and random forests for ecological prediction
    • Prasad AM, Iverson LR, Liaw A (2006) Newer classification and regression tree techniques: bagging and random forests for ecological prediction. Ecosystems 9:181-199
    • (2006) Ecosystems , vol.9 , pp. 181-199
    • Prasad, A.M.1    Iverson, L.R.2    Liaw, A.3
  • 19
    • 1842607847 scopus 로고    scopus 로고
    • R Development Core Team (, Vienna Austria, R Foundation for Statistical Computing, online] URL
    • R Development Core Team (2004) R: a language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing. [online] URL: http://www.R-project.org
    • (2004) R: A language and environment for statistical computing
  • 20
    • 67650757105 scopus 로고    scopus 로고
    • guide to the gbm package. Available at
    • Ridgeway G (2005) Generalized boosted models: a guide to the gbm package. Available at http://www.i-pensieri. com/gregr/papers/gbm-vignette.pdf
    • (2005) Generalized boosted models: A
    • Ridgeway, G.1
  • 21
    • 0031211090 scopus 로고    scopus 로고
    • A decision theoretic generalization of on-line learning and an application to boosting
    • Schapire R, Freund Y (1997) A decision theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci 55:119-139
    • (1997) J Comput Syst Sci , vol.55 , pp. 119-139
    • Schapire, R.1    Freund, Y.2
  • 22
    • 0005245998 scopus 로고    scopus 로고
    • Implementation and testing of the method of splitting tsunami (MOST) model
    • Pacific Marine Environmental Laboratory. Seattle, WA, 11 pp
    • Titov VV, Gonzalez FI (1997) Implementation and testing of the method of splitting tsunami (MOST) model. NOAA Technical Memorandum ERL PMEL-112. Pacific Marine Environmental Laboratory. Seattle, WA, 11 pp
    • (1997) NOAA Technical Memorandum ERL PMEL-112
    • Titov, V.V.1    Gonzalez, F.I.2
  • 23
    • 0032122519 scopus 로고    scopus 로고
    • Numerical modeling of tidal wave runup
    • Port
    • Titov VV, Synolakis CE (1998) Numerical modeling of tidal wave runup. J Waterw Port C 124(4):157-171
    • (1998) J Waterw , vol.124 , Issue.4 C , pp. 157-171
    • Titov, V.V.1    Synolakis, C.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.