抄録
This study considers methods to measure city states based on grid square statistics and proposes a cloud-based data analytic platform named MESHSTATS. There are several challenges to big data processing techniques for measuring city-states since it needs various types of data sources and wide-area data. Some exam-ples to measure city states with grid square statistics and to produce grid square statistics available information includes physical addresses. Three classes of scenarios for measuring city states in usual life. The paper concludes that grid square statistics can be used for measuring city states from a macroscopic point of views.
