首页 | 本学科首页   官方微博 | 高级检索  
     


Identification of GIS Attribute Error Using Exploratory Data Analysis*
Authors:Lauren M. Scott
Abstract:Exploratory data analysis (EDA), a data-centered, inductive approach to statistical analysis, provides effective tools for assessing the quality and integrity of GIS attribute data. This research presents selected examples demonstrating EDA distribution analyses, correlational statistics, and proximity analysis. An integrated modular software prototype to operationalize these techniques combines the mapping and display capabilities of ArcView with the statistical functionality of STATA in a MS-Windows multi-tasking, multiple-windowed environment.
Keywords:exploratory data analysis (EDA)  GIS  quality assurance  modular GIS software
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号