顾及空间自相关的统计数据分级质量评价

基金项目: 国家教育部高校骨干教师专项基金资助项目国家自然科学基金资助项目(40571133)

详细信息

Quality Evaluation of Statistical Data Classification Considering Spatial Autocorrelation

¹ Key Laboratory of Geographic Information System,Ministry of Education,Wuhan University, 129 Luoyu Road,Wuhan 430079,China;² School of Resource and Environment Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家教育部高校骨干教师专项基金资助项目国家自然科学基金资助项目(40571133)

摘要: 详细分析了统计地图数据分级质量的评价指标,研究了数据分级中应当考虑的数据空间分布规律,并用实例证明了分级数与空间自相关系数之间的变化规律。
- 统计地图 /
- 数据分级 /
- 空间自相关 /
- 质量评价
Abstract: Statistical map is the kind of important forms of thematic map,and data classification is the kernel.In this paper,the quantificational indexes of classification evaluation are discussed,when changing the number of classes,the spatial data autocorrelation degree is changed,this law is researched.Based on this law,the number of classes can be determined,and this new method is given in this paper.The result of data classification should be further evaluated by means of spatial distribution characteristic of data,and an example is given to test it.
- statistical map /
- data classification /
- spatial autocorrelation /
- quality evaluation

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