[1]巩垠熙,巩文*,杨芫钦,等. 基于信息熵的森林立地离散空间场相关性研究[J].西北林学院学报,2015,30(01):87-95.[doi:doi:10.3969/j.issn.1001-7461.2015.01.14]
　GONG Yin-xi,GONG Wen*,YANG Yuan-qin,et al. Information Entropy Based Study on the Correlations of Discrete Spatial Fields of Forest Sites[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2015,30(01):87-95.[doi:doi:10.3969/j.issn.1001-7461.2015.01.14]
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 基于信息熵的森林立地离散空间场相关性研究()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第30卷
期数:
2015年01期
页码:
87-95
栏目:
出版日期:
2015-01-31

文章信息/Info

Title:
 Information Entropy Based Study on the Correlations of Discrete Spatial Fields of Forest Sites
文章编号:
1001-7461(2015)01-0087-09
作者:
 巩垠熙1; 巩文2*; 杨芫钦1; 冯仲科3; 何诚4
 （1．国家测绘地理信息局第一航测遥感研究院，陕西 西安 710054；2．甘肃林业职业技术学院，甘肃 天水 741020；3．北京林业大学 测绘与3S技术中心，北京 100083；4．南京森林警察学院，江苏 南京 210046）
Author(s):
 GONG Yin-xi1;  GONG Wen2*;  YANG Yuan-qin1; FENG Zhong-ke3;  HE Cheng4
 (1. The First Institute of Photogrammetry and Remote Sensing, Xi’an, Shaanxi 710054, China; 2. Gansu Forestry Technological College, Tianshui, Gansu 741020, China; 3. Institute of GIS,RS＆GPS, Beijing Forestry University, Beijing 100083, China; 4. Nanjing Forest Police College, Nanjing, Jiangsu 210046, China)
关键词:
 ; 立地; 信息熵; 离散空间场; 相关性
Keywords:
 ; site;  information entropy;  discrete spatial field;  correlation
分类号:
S711
DOI:
doi:10.3969/j.issn.1001-7461.2015.01.14
文献标志码:
A
摘要:
 为了获取立地空间信息间隐含的相关性，对其进行定量计算和表达，研究选取森林资源小班调查数据中7项典型的离散数据，结合小班空间位置属性构成森林立地离散空间场，采用信息熵的理论方法，通过计算局部空间内离散场的信息量以及局部空间与整体的协调性，定量分析并提取多项离散型因子与立地森林健康等级间的相关指数。结果表明，在7项因子中不同的立地类型和小班内的优势树种与森林健康相关程度最高，森林起源则与森林健康等级表现出相互独立的关系。研究克服了以往使用统计学原理以及灰色系统理论均无法计算立地离散空间场相关性的缺陷，实现了对立地因子中的离散型属性间关系的定量计算和表达。
Abstract:
 The attributes of forest site space information are mostly identified by classification codes, therefore, it is unable to calculate their correlations by mean value and variance. In order to obtain the implied correlations among these attributes, they were calculated and expressed quantitatively. From forest sub-lot data, combining with sublot space location to form forest discrete spatial fields, 7 typical discrete attributes were chosen. The research used theoretical method of information entropy, via calculating the information quantity inside partial space, to quantitatively analyze and extract the correlation indices between discrete factors and health levels of the site forests. The results suggested that different site types and dominant tree species revealed the highest correlation with forest health, while the origin of forest and health level of forest showed an independent relationship. The study overcomes the defects that site discrete spatial correlation cannot be calculated by statistics theory and grey system theory, eventually achieved quantitative calculation and express of the relationship between site discrete attributes.

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备注/Memo

备注/Memo:
 收稿日期：2014-04-09 修回日期：2014-09-09
基金项目：中央高校基本科研业务费专项资金项目（LGZD201401）；国家科技支撑计划项目（2012BAH34B01）；国家自然科学基金（30872038）。
作者简介：巩垠熙，男，博士，研究方向：3S技术集成和地理国情监测。E-mail : top_speed2@163.com
*通信作者：巩文，男，教授，研究方向：精准林业技术应用。E-mail : gansugongwen@yeah.net
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