1 |
Pew, K.L. and Larsen, C.P.S. 2001. GIS Analysis of Spatial and Temporal Pattern of human-caused wildfires in the temperature rain forest of Vancouver Island, Canada. Forest Ecology and Management 140 : 1-18
DOI
ScienceOn
|
2 |
Preisler, H.K., Brillinger, D.R., Burgan, R.E. and Benoit, J.W. 2003. Probability based models for estimation of wildfire risk. International Journal of wildland fire 13(2): 133-142
DOI
ScienceOn
|
3 |
Wotton, B.M., Martell, D.L. and Logan, K.A. 2003. Climate change and human-caused forest fire occurrence in Ontario. Climatic change 60: 275-295
DOI
ScienceOn
|
4 |
Martell, D.L., Bevilacqua, E. and Stocks, B.J. 1989. Modeling seasonal variation in daily human-caused forest fire Occurrence. Canadian Journal of Forest Research. 19(10): 1555-1563
DOI
|
5 |
Van Wagner, C.E. 1987. The development and structure of the Canadian forest fire weather index system. Canadian Forest Service. Petawawa National Forestry Institute. Forest Technical Report ETR-35. Chalk River. Ontario. 36pp
|
6 |
Korean national statistic office. 2003. Available from http://www.Nso.go.kr
|
7 |
Stocks, B.J., Alexander, M.E., Mcalpine, R.S., Lawson, B.O. and Van Wanger, C.E. 1987. Canadian Forest Fire Danger Rating System. Users' Guide. Canadian Forest Service Fire Danger group
|
8 |
Todd, B. and Kourtz, P.H. 1992. Predicting the daily occurrence of human-caused Forest Fire. Petawawa National Forestry Institute. Information Report PI-X-103. 16pp
|
9 |
Martell, D.L., Otukol, S. and Stocks, B.J. 1987. A logistic model for predicting daily human-caused forest fire occurrence in Ontario. Canadian Journal of Forest Research 17(5): 394-401
DOI
|
10 |
Crosby, J.S. 1954. Probability of fire occurrence can be predicted. Northern Ozark Forest Research Center. October, 1954
|
11 |
Cunningham, A.A. and Martell. D.L. 1973. A stochastic model for the occurrence of man-caused forest fires. Canadian Journal of Forest Research 3: 282-287
DOI
|
12 |
Choi, K. and Han, S.Y. 1996. Developing Forest Fire Occurrence Probability Model Using Meteorological Characteristics. Journal of Korean Forest society 85(1): 15-23
|
13 |
Loftsgaarden, D.O., and Andrews, P.L. 1992. Constructing and testing logistic regression model for binary data; Applications to the National Fire Danger Rating System. United States Department of Agriculture. Forest Service. Intermountain Research Station. General Technical Report INT-286. 36pp
|
14 |
Chou, Y.H., Minnich, R.A., and Chase, R.A. 1993. Mapping probability of tire occurrence in San Jacinto Mountains, California, USA. Environmental Management 17: 129-140
DOI
|
15 |
Van Wagner, C.E. 1970. New development in forest fire danger rating. Canadian Forest Service Report. Environment Information Report Ps-X-19
|
16 |
Korea Forest Service. 2003. Available from http://www.foa.go.Kr
|
17 |
Korea Meteorological Administration. 2003. Available from http://www.Kma.go.kr
|
18 |
Vega Garcia, C., Woodard, P.M., Titus, S.J., Adamowicz, W.L. and Lee, B.S. 1995. A logit Model for predicting the Daily Occurrence of human caused forest fires. International Journal of wildland fire 5(2): 101-111
DOI
|