Research Trends in Geospatial Information Science: Focusing on Data and Analysis

Abstract

The development of sensing technology in recent years has enabled the collection and accumulation of large-scale dynamic geospatial information about cities, such as satellite images and people flow, etc. As exemplified by the Tellus platform, open data and the utilization of geospatial information have been progressing in society as a whole. In addition, research methods are becoming more sophisticated with the development of artificial intelligence (AI) and computer science. Against this background, this paper introduces recent trends in open data and research cases using AI. The shift to open data for geospatial information has reduced the cost of data collection and enabled research and analysis that were not easily feasible in the past. As a result, it has become possible to develop data with new value by combining open data, and some researchers themselves have contributed to the formation of new communities by releasing their data. On the other hand, the management method of the underlying urban data, represented by the base registry, revealed the issue of creating a common ID format among data.