[2J1-GS-10] AI application:

[2J1-GS-10-02] Discovery and Analysis of Important Geographic Areas from Viewpoints of Human Behavior by Interactive Method Using Human Flow Data

〇MADORI IKEDA¹ (1. GeoTechnologies, Inc.)

Keywords:Geographic Information, Knowledge Discovery, Human Flow Data, Clustering

Geographic information is important in various industries. However, in many cases, it is superficial such as land structures, population, and events which are tied to uniform units like points, sites, and administrative divisions. Therefore, it does not reflect actual human behaviors especially at detail scales. We propose a method for discovering important geographic areas in appropriate shapes where some human activity is frequently observed by defining weight for the activity. The weight is defined for each point of time-series coordinates in human flow data. The weights are aggregated to small areas to evaluate the importance of them, and adjacent and similar important areas are integrated. The weights can reflect various activities by using not only the coordinate points but also human attributes and other geographic information. In addition, by using these information, features of the areas are defined to evaluate the similarities between areas and to analyze themselves. Further knowledge discovery can be expected by repeating this process of discovery, analysis, and redefinition of the weights. Examples of discovered areas by using this method are also shown.