首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于APRIORI算法的林火发生与气象关系的分析
引用本文:胡林,冯仲科.基于APRIORI算法的林火发生与气象关系的分析[J].林业资源管理,2008(4).
作者姓名:胡林  冯仲科
基金项目:国家高新技术研究发展计划项目;森林精准监测技术与重大病虫害遥感监测及预警技术研究
摘    要:传统的气象林火火险预测方法只适应于省级以上的大地域林火发生风险的宏观预测,不能用于林场一级的小地域的林火发生预测。林场一级的单位缺乏精确的林火发生数据和实用有效的林火监测手段,记录数据一般较粗放,难以用精确的方法进行预测。本文利用关联算法Apriori,分析了北京市房山区林火发生的可能性及发生强度与气象因子间的关系。研究结果表明,Apriori算法可以有效地利用粗放的林火数据集进行林火预测,为基层林场预测林火发生提供了方法。

关 键 词:Apriori  林火分析  气象  关联规则

Application of Apriori Algorithm to Analysis of Wildfire and Weather
HU Lin,FENG Zhongke.Application of Apriori Algorithm to Analysis of Wildfire and Weather[J].Forest Resources Management,2008(4).
Authors:HU Lin  FENG Zhongke
Abstract:Traditional method of applying the weather data to forest fire forecast is only used for the prediction for an administrative division of provincial level,and it is not suitable for the forest farm level because there are not accurate forest fire data and effective means of forest fire monitoring.In this paper,Apriori,an association rule algorithm,is applied to analysis of the probability and intensity of the forest fires in Fangshan District in Beijing,and the results show that Apriori can forecast forest fire effectively with coarse forest fire data.It makes the forest farms possible to predict the forest fire by applying the weather data.
Keywords:Apriori
本文献已被 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号