期刊论文

Bayes Discriminant Analysis Method of Natural Grassland Classification

中文

中国草地学报

1673-5021

2016

38

3

50-55

10.16742/j.zgcdxb.2016-03-08

湖南省重点学科建设项目（2013ZDXK006） 中南林业科技大学引进***人才科研启动基金项目（104-0094）

本校为第一机构

基于多元统计分析理论,综合考虑天然草地的生态状况、可再生产能力和经济条件等因素,选择植被覆盖度、可食风干牧草产量、牧草利用率、草地可利用面积系数、草群中优良牧草比率和羊单位需草地面积6个参数作为判别因子,建立了天然草地分类的Bayes判别分析法。将天然草地分为温性荒漠类、温性草原类和低山地草甸类3个类别,并作为Bayes判别分析的3个正态总体,以新疆准噶尔盆地西部地区的31个天然草地为样本(其中18个为训练样本),以Bayes线性函数值和后验概率对样本所归属的总体进行识别,将建立的模型对训练样本进行回判,以回代误判率对模型进行检验。研究表明,Bayes判别分析模型可以很好地反映不同...

The ecological situations,reproduction abilities and economic conditions of natural grassland were taken into account synthetically,and six parameters including vegetation coverage,dry edible forage grass production,forage grass utilization rate,available grassland area coefficient,forage grass utilization rate,grassland area for every sheep unit were selected as discrimination factors.Bayes discrimination anal-ysis method for natural grassland classification was put forward based on multivariate statistical analysis theory. The natural grassland was divided into 3 grades,i.e. temperate desert...