邓 欧,李亦秋,冯仲科,等. 2012.基于空间Logistic的黑龙江省林火风险模型与火险区划.农业工程学报,28 (8):200-205. (Deng O, Li Y Q, Feng Z K, et al. 2012. Model and zoning of forest fire risk in Heilongjiang Province based on spatial Logistic. Transactions of the Chinese Society of Agricultural Engineering, 28(8):200-205.[in Chinese]) 邸雪颖,李永福,孙 建,等. 2011.黑龙江省大兴安岭地区塔河县森林火险天气指标动态.应用生态学报,22(5):1240-1246. (Di X Y, Li Y F, Sun J, et al. 2011. Dynamics of forest fire weather indices in Tahe County of Great Xing'an Mountains region, Heilongjiang Province. Chinese Journal of Applied Ecology, 22(5):1240-1246.[in Chinese]) 杜春英,李 帅,刘 丹,等. 2010.大兴安岭地区森林雷击火发生的时空分布.自然灾害学报,19 (3):72-76. (Du C Y, Li S, Liu D, et al. 2010. Spatiotemporal distribution of lightning-caused forest fires in Daxing'anling area. Journal of Natural Disasters, 19(3):72-76.[in Chinese]) 胡海清. 2005. 林火生态与管理. 北京:中国林业出版社, (Hu H Q.2005. Forest ecology and management. Beijing:China Forestry Publishing House.[in Chinese]) 巩亚楠,帕提麦·马秉成,朱登浩,等. 2014. 随机森林与Logistic回归在预约挂号失约影响因素预测中的应用. 现代预防医学,41(5):769-772. (Gong Y N, PaTimai Ma B C, Zhu D H, et al. 2014. Application of random forests and logistic regression in prediction of influencing factors of missed appointment registration. Modern Preventive Medicine, 41(5):769-772.[in Chinese]) 郭福涛,苏漳文,马祥庆,等. 2015. 大兴安岭塔河地区雷击火发生驱动因子综合分析. 生态学报,35 (19):6439-6488. (Guo F T, Su Z W, Ma X Q, et al. 2015. Comprehensive analysis of driving factors for lightning-caused fire in Tahe, Daxing'an Mountain. Acta Ecologica Sinica, 35(19):6439-6488.[in Chinese]) 郭福涛,胡海清,马志海,等. 2010. 不同模型对拟合大兴安岭林火发生与气象因素关系的适用性. 应用生态学报,21(1):159-164. (Guo F T, Hu H Q, Ma Z H, et al. 2010. Applicability of different models in simulating the relationships between forest fire occurrence and weather factors in Daxing'an Mountains. Chinese Journal of Applied Ecology, 21(1):159-164.[in Chinese]) 李欣海. 2013. 随机森林模型在分类与回归分析中的应用. 应用昆虫学报,(4):1190-1197. (Li X H. 2013. Using "random forest" for classification and regression. Chinese Journal of Applied Entomology, 50(4):1190-1197.[in Chinese]) 柳生吉,杨 健. 2013. 基于广义线性模型和最大熵模型的黑龙江省林火空间分布模拟. 生态学杂志, 32 (6):1620-1628. (Liu S J, Yang J. 2013. Modeling spatial patterns of forest fire in Heilongjiang Province using generalized linear model and maximum entropy model. Chinese Journal of Ecology, 32(6):1620-1628.[in Chinese]) 毛光伶.1988. 林火与气象条件相互关系及其预报. 气象, 14(9):52-54. (Mao G L. 1988. The relationship between forest fire and weather conditions and forecasts. Atmosphere, 14(9):52-54.[in Chinese]) 彭国兰. 2007. 随机森林在企业信用评估中的应用. 厦门:厦门大学硕士学位论文. (Peng G L. 2007. Application of Random Forests to Enterprises Credit Assessment. Xiamen:MS thesis of Xiamen University.[in Chinese]) 彭 欢,史明昌,孙 瑜, 等. 2014. 基于Logistic的大兴安岭雷击火预测模型. 东北林业大学学报,42 (7):166-169. (Peng H, Shi M C, Sun Y, et al. 2014. Lightning fire forecasting model of Daxing'an Mountain based on Logistic model. Journal of Northeast Forestry University, 42(7):166-169.[in Chinese]) 孙 瑜,史明昌,彭 欢,等. 2014. 基于MAXENT模型的黑龙江大兴安岭森林雷击火火险预测. 应用生态学报,25(4):1100-1106. (Sun Y, Shi M C, Peng H, et al. 2014. Forest lighting fire forecasting for Daxing'anling Mountains based on MAXENT model. Chinese Journal of Applied Ecology, 25 (4):1100-1106.[in Chinese]) 田晓瑞,McRae D J,金继忠,等. 2010.大兴安岭地区森林火险变化及FWI适用性评估.林业科学,46 (5):127-132. (Tian X R, McRae D J, Jin J Z, et al. 2010. Changes of forest fire danger and the evaluation of the FWI system application in the Daxing'anling region. Scientia Silvae Sinicae,46 (5):127-132.[in Chinese]) 王明玉,舒立福,田晓瑞,等. 2003.林火在空间上的波动性及其对全球变化的响应(Ⅱ).火灾科学,12 (3):171-176. (Wang M Y, Shu L F, Tian X R, et al. 2003. Spatial fluctuation of forest fires and their response to global change. Fire Safety Science, 12 (3):171-176.[in Chinese]) 武晓岩,李 康. 2006. 基因表达数据判别分析的随机森林方法. 中国卫生统计,23(6):491-494. (Wu X Y, Li K. 2006. The application of random forests for the classification of gene expression data. Chinese Journal of Health Statistics, 23(6):491-494.[in Chinese]) 武晓岩,闫晓光,李 康. 2007. 基因表达数据的随机森林逐步判别分析方法. 中国卫生统计,24(2):151-154. (Wu X Y, Yan X G, Li K. 2007. The stepwise discriminant analysis of random forests used in gene expression data. Chinese Journal of Health Statistics, 24(2):151-154.[in Chinese]) 杨沐晞. 2012. 基于随机森林模型的二手房价格评估研究. 长沙:中南大学硕士学位论文. (Yang M X. 2012. The price evaluation research of second-hand house based on the random forest model. Changsha:MS thesis of Central South University.[in Chinese]) 姚登举,杨 静,詹晓娟. 2014. 基于随机森林的特征选择算法. 吉林大学学报:工学版,44(1):137-141. (Yao D J, Yang J, Zhan X J. 2014. Feature selection algorithm based on random forest. Journal of Jilin University:Engineering and Technology Edition, 44(1):137-141.[in Chinese]) 张 雷,王琳琳,张旭东,等. 2014. 随机森林算法基本思想及其在生态学中的应用——以云南松分布模拟为例. 生态学报,34(3):650-659. (Zhang L, Wang L L, Zhang X D, et al. 2014. The basic principle of random forest and its applications in ecology:a case study of Pinus yunnanensis. Acta Ecologica Sinica, 34(3):650-659.[in Chinese]) 张 巍. 2009.森林定位观测与森林火险预警建设——大兴安岭国家森林生态观测站为例. 内蒙古农业大学学报,30 (1):127-131. (Zhang W. 2009. The relationship between forest fire danger forecast and local forest observation case on Daxing'anling Mountain of Inner Mongolia local observation station. Journal of Inner Mongolia Agricultural University,30 (1):127-131.[in Chinese]) 赵凤君,王明玉,舒立福,等. 2009. 气候变化对林火动态的影响研究进展. 气候变化研究进展,5 (1):50-55. (Zhao F J, Wang M Y, Shu L F, et al. 2009. Progress in studies on influences of climate change on forest fire regime.Advances in Climate Change Research, 5 (1):50-55.[in Chinese]) 朱沛林,史明昌,Mike Wotton,等. 2014. 黑龙江大兴安岭雷击火概率预测模型研究. 中南林业科技大学学报,34 (8):82-85. (Zhu P L, Shi M C, Wotton M, et al. 2014. A preliminary study on lightning-caused fire probability prediction model for Daxing'anling forest region. Journal of Central South University of Forestry & Technology,34 (8):82-85.[in Chinese]) Chuvieco E,Giglio L, Justice C. 2008. Global characterization of fire activity:towards defining fire regimes from earth observation data. Global Change Biology, 14(7):1488-1502. Chas-Amil M L,Prestemon J P, McClean C J,et al. 2015. Human-ignited wildfire patterns and responses to policy shifts. Applied Geography, 56:164-176. Chang Y,Zhu Z L, Bu R C,et al. 2013. Predicting fire occurrence patterns with logistic regression in Heilongjiang Province,China. Landscape Ecology,28(10):1989-2004. Cutler D R,Edwards T J,Beard K H,et al. 2007. Random forests for classification in ecology. Ecology,88(11):2783-2792. Girardin M P,Ali A A,Carcaillet C,et al. 2013. Fire in managed forests of eastern Canada:Risks and options. Forest Ecology and Management, 258(3):238-249. Genuer R,Poggi J,Tuleau-Malot C. 2010. Variable selection using random forests. Pattern Recognition Letters, 31(14):2225-2236. Guo F T, Innes J L, Wang G Y, et al. 2015. Historic distribution and driving factors of human-caused fires in the Chinese boreal forest between 1972 and 2005. Journal of Plant Ecology,8(5):480-490. Liaw A,Wiener M. 2002. Classification and regression by random forest. R news, (2):18-22. NIFC(Naitional Interagency Fire Center). 2004. Urban-wild-land and wildland fire statistics. National Interagency Fire Center,Boise,Idaho,USA. Oliveira S,Oehler F,San-Miguel-Ayanz J,et al. 2012. Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest. Forest Ecology and Management, 275(4):117-129. Prasad A M,Iverson L R,Liaw A. 2006. Newer classification and regression tree techniques:Bagging and random forests for ecological prediction. Ecosystems,9(2):181-199. Rodrigues M,de la Riva J. 2014a. An insight into machine-learning algorithms to model human-caused wildfire occurrence. Environmental Modelling & Software,57:192-201. Rodrigues M,de la Riva J, Fotheringham S. 2014b. Modeling the spatial variation of the explanatory factors of human-caused wildfires in Spain using geographically weighted logistic regression. Applied Geography, 48:52-63. Saefuddin A,Setiabudi N A,Fitrianto A. 2012. On comparison between logistic regression and geographically weighted logistic regression:with application to Indonesian poverty data. World Applied Sciences Journal, 19(2):205-210. Stum A K,Boettinger J L, White M A, et al. 2010. Random forests applied as a soil spatial predictive model in Arid Utah//Digital Soil Mapping.Progress in Soil Science Vol 2.Springer Netherlands,179-190. Zhong M H,Fan W C,Liu T M,et al. 2003. Statistical analysis on current status of China forest fire safety. Fire Safety Journal, 38:257-269. |