Issues in Spatiotemporal Data Modeling

Abstract

Recent interest in spatiotemporal data modeling comes from Multimedia Information Retrieval and Geographic Information System communities. Early reviews of spatiotemporal research were biased towards geographic and cartographic applications and representational concerns. In this paper, we move beyond implementability considerations to highlight a range of fundamental research issues relevant to spatiotemporal data modeling such as conceptual space, time, and data models. An evaluation of recent research with respect to these issues and comparison of work from different research communities provides a framework for understanding the current state of spatiotemporal research and indicating priorities for future work.