Challenges in Data Integration for Spatiotemporal Analysis

摘要

Time has been studied in GIScience for over twenty years. So far, data is still an issue in spatiotemporal analysis. In this paper I first examine spatiotemporal applications, including wildfire responses, health applications, and navigation, for identification of spatiotemporal data. Second, we identify technical challenges in integrating a wide variety of spatiotemporal data. Next, I present two possible solutions, one single and another that is a multiple representation approach. For the second scenario, the multiple representation approach, I address research, development, and organizational needs for space-time integration. This study will help advance data integration for spatiotemporal analysis.