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作 者:王育红 徐君 冯锋 Wang Yuhong;Xu Jun;Feng Feng(School of Geography,Geomatics and Planning,Jiangsu Normal University,Xuzhou Jiangsu 221116,China;Business School,Jiangsu Normal University,Xuzhou Jiangsu 221116,China)
机构地区:[1]江苏师范大学地理测绘与城乡规划学院,江苏徐州221116 [2]江苏师范大学商学院,江苏徐州221116
出 处:《统计与决策》2023年第24期17-23,共7页Statistics & Decision
基 金:国家社会科学基金资助项目(19BJY066);国家自然科学基金资助项目(U1304401);江苏省研究生科研与实践创新计划项目(KYCX21_2572)。
摘 要:为了避免对空间基尼系数计算模型的误解和错用,克服传统计算方法的不足,文章首先从绝对和相对两个视角系统分析了空间基尼系数计算原理及主要计算模型;然后,提出了一种三层要素类结构驱动的自动批量计算方法,并以基于信息熵的绝对空间基尼系数的计算为例,详细阐述了在Geodatabase环境下三层要素类结构的字段组成及其关联关系,具体描述了利用ModelBuilder可视化建模技术实现所提方法的模型工具构建方式与执行流程;最后,通过自制与实际数据对所提方法及工具进行了实验验证。实验结果表明:该方法能够在大量数据环境下快速获得多个研究区的空间基尼系数,具有自动化程度及运行效率高、计算处理过程以图形化工作流的形式直观呈现、无需编程、便于共享、重复使用等优势。In order to avoid the misunderstanding and misusage of spatial Gini coefficient calculation models,and overcome the drawbacks of the traditional computation methods,this paper firstly analyzes the computation principles and main models of spatial Gini coefficient from absolute and relative perspectives,then proposes an automatic batch computation approach driven by 3-layer feature class structure,and takes the computation of absolute spatial Gini coefficient based on information entropy(AG8)as an example,expounding the field components and their relationships of 3-level feature class structure in Geodatabase,and concretely describing the building ways and the executive process of new model tools for implementing the proposed approach by ModelBuilder.Finally,the paper verifies the proposed approach and tools by experiments with self-made and actual data.The results show that the proposed approach can be used to quickly obtain the spatial Gini coefficient of many research regions in the condition of large data volume,with advantages in such respects as high automation and efficiency,no programming required,convenience to share and reuse.
关 键 词:洛伦兹曲线 空间基尼系数 GEODATABASE 要素类 ModelBuilder
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