Representation: Time

Abstract

Interest in representing temporal as well as spatial information in digital form coincided with the availability of large volumes of spatiotemporal data via advancing geosensing technology as well as accumulation of digital data from archival sources. A historical review is given, including entity‐based, location‐based, time‐based, and combined representational approaches and a framework for spatiotemporal query. The importance of going beyond representation of strictly observational data to include process is discussed, as well as issues and challenges unique to representation of the temporal dimension.

TiGrid: A raster‐based method for time‐interval information representation with geotagged videos as an example

“…From the spatial and temporal perspective, the spatiotemporal representation and modeling of geographic phenomena and their dynamics have always been the focus of GIS (Chen et al, 2016;Fisher, 2006;Goodchild, 2019;Peuquet, 2017;Yuan, Mark, Egenhofer, & Peuquet, 2004). Early temporal GIS (TGIS) approaches, such as the snapshot model, space-time composite model, and space-time object model, primarily used timestamps for spatiotemporal representation (Yuan, 1999).…”

“…However, timestamp-based implementations have limited spatiotemporal pattern detection and mining capabilities, and it is not enough to use only linear methods for spatiotemporal representation in GIS, which could cause visual ordering problems of different line segments for time-based visual analysis (Billiet, Van de Weghe, Deploige, & De Tré, 2016;Peuquet, 2017); moreover, studies on the representation and modeling of spatial objects with time-interval information are relatively limited (Qiang, Matthias, et al, 2012;Qiang & Van de Weghe, 2019).…”