天山云杉立地指数地统计空间分析
收稿日期: 2017-03-20
修回日期: 2017-05-10
网络出版日期: 2020-09-24
基金资助
国家自然科学基金项目(31400543)
Geostatistical Analysis of Picea Schrenkiana Site Index
Received date: 2017-03-20
Revised date: 2017-05-10
Online published: 2020-09-24
轩俊伟 , 朱静 . 天山云杉立地指数地统计空间分析[J]. 林草资源研究, 2017 , 0(3) : 46 -50 . DOI: 10.13466/j.cnki.lyzygl.2017.03.010
Based on the geo-statistical theory,data of observation samples are used to fit the optimal variation function model and analyze spatial pattern of Picea Schrenkiana site index in the forest farm of Xinjiang Agriculture University.The results show that the frequency distribution of the site index of Picea Schrenkiana gets close to a normal distribution and has moderate degree spatial autocorrelations.After comparing the estimated results with actual results,the spherical models are confirmed with high accuracy.Picea Schrenkiana site index predictions with the ordinary kriging method are more accurate than those obtained by using inverse distance weighting.Consequently,we identify geostatistical analysis as a promising technique to map complex patterns of Picea Schrenkiana site index and suggest that it should be added to the toolbox of forest practitioners.
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