统计与决策2023，Vol.39Issue(24)：17-23,7.DOI:10.13546/j.cnki.tjyjc.2023.24.003
三层要素类结构驱动的空间基尼系数自动批量计算方法
An Automatic Batch Computation Approach for Spatial Gini Coefficient Driven by 3-Layer Feature Class Structure
摘要
Abstract
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 con-cretely describing the building ways and the executive process of new model tools for implementing the proposed approach by Mo-delBuilder.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 condi-tion of large data volume,with advantages in such respects as high automation and efficiency,no programming required,conve-nience to share and reuse.关键词
洛伦兹曲线/空间基尼系数/Geodatabase/要素类/ModelBuilderKey words
Lorentz curve/spatial Gini coefficient/Geodatabase/feature class/ModelBuilder分类
社会科学引用本文复制引用
王育红,徐君,冯锋..三层要素类结构驱动的空间基尼系数自动批量计算方法[J].统计与决策,2023,39(24):17-23,7.基金项目
国家社会科学基金资助项目(19BJY066) （19BJY066）
国家自然科学基金资助项目(U1304401) （U1304401）
江苏省研究生科研与实践创新计划项目(KYCX21_2572) （KYCX21_2572）
