统计数据可视化工程中的网格GIS技术探究  

Research on the Gridding GIS Technology in the Projects of Statistical Data Visualization

作　　者：张君 亢大麟 ZHANG Jun;KANG Dalin

机构地区：[1]西安财经大学管理学院,陕西西安710100

出　　处：《地理空间信息》2020年第7期58-62,I0006,共6页Geospatial Information

基　　金：陕西省社会科学基金资助项目(2017G008)。

摘　　要：为了解决统计数据可视化中因统计指标空间尺度过大而难以如实表达的问题,在分析和归纳统计数据4个空间特征和网格GIS技术等内容的基础上,探讨了基于网格GIS技术实现统计数据可视化的基本思路,并在该技术的支持下实现了不同空间尺度上的西安市人口统计数据可视化。结果表明,现代统计数据可视化的问题实质上是如何尽可能缩小统计数据表达的空间尺度以及选择空间尺度细化的相关指标问题,据此提出了利用相关指标使大空间统计数据细化的构想以及相关指标空间比例方法,为统计数据可视化工程中的网格GIS技术实现提供了参考和借鉴。In order to solve the issue that the spatial scale of statistical index is too large to be accurately expressed in the statistical data visualization,based on the analysis of the four spatial characteristics of statistical data and the gridding GIS technology,we discussed the basic idea of realizing statistical data visualization based on gridding GIS technology.And then on the support of the technology,we achieved the statistical data visualization of Xi’an City population in the different spatial scale.The results show that the substances of modern statistical data visualization are the below-mentioned two issues,one is how to reduce the spatial scale of statistical data as soon as possible,the other is how to select the relevant indexes of dividing spatial scale particularly.According to the two issues,we put forward the assumption that using the relevant indexes to divide the statistical data of big spatial scale particularly and the relevant indexes spatial scale method,which could provide a reference for the realization of gridding GIS technology in statistical data visualization project.

关 键 词：统计数据 可视化 网格GIS技术 空间尺度 

分 类 号：P208[天文地球—地图制图学与地理信息工程]