摘要
选择纬度、经度以及16个与水热状况有关的气象因子进行R型主成分分析,用前5个主成分坐标值进行模糊ISODATA聚类分析,将研究区划分为3类;用逐步判别分析建立了各类的判别函数式,回判准确率为91.81%;结合模糊相似优先比的结果,将研究区区划为南洋楹适宜发展区、南洋次适宜发展和南洋楹控制发展区3个气候区.
According to the methods of type-R principal component analysis and fuzzy ISODATA cluster analysis, the studied area was divided into 3 climatic types based on 2 items of geographical data and 16 items of meteorological data collected from 171 counties. The method of stepwise discrimination analysis was used for giving discriminating functions to types and showed 91.81% of accuracy. Considering the result of fuzzy similarity priority ratio, the studied area was divided into 3 climatic regions: the suitable region for Paraserianthes falcataria, the less suitable and the controlled.
出处
《中南林学院学报》
CSCD
2004年第1期6-9,共4页
Journal of Central South Forestry University
基金
国家林业局"948"引进项目(98-4-10)"南洋楹优良种质资源及栽培技术引进"内容之一.
关键词
林学
南洋楹
气候区划
R型主成分分析
模糊ISODATA聚类分析
逐步判别分析
模糊相似优先比
forestry
Paraserianthes falcataria
climatic regionalization
type-R principal component analysis
fuzzy ISODATA cluster analysis
stepwise discrimination analysis
fuzzy similarity priority ratio
