Design Patterns for Spatio-temporal Processes

Abstract

Time is an essential dimension to analyse and understand real-world evolution. Although many temporal extensions to spatial models have been proposed, there is still a need to define modelling methods to describe and represent real-world phenomena. This paper presents a set of design patterns modelling spatia-temporal processes expressed in an object-relationship data model. The proposed framework is based on an analysis of spatia-temporal processes and on properties of object-oriented and entity-relationship data models.

Spatio-temporal database support for long-period scientific data

“…Furthermore, it is easy to verify that the proposed model also conforms to the taxonomy of basic spatiotemporal processes according to (Claramunt, Parent, & Theriault, 1997). Every basic spatio-temporal process can be represented: (1) stability, since the trajectory of a temporal vertex can degenerate to a point yielding no movement at all; (2) deformation, since the trajectories of temporal vertices can be speci_ed independently; (3) expansion/contraction, since the trajectories of temporal vertices can be the result of a scaling function; (4) rotation for a rotation function, linearly approximated; (5) translation for a translation function applied to every temporal vertex in a temporal mesh.…”

Analyzing Us Mainland Precipitation Pattern Change Based on a Kinetics-Based Gis Method

“…An object-relationship data model that includes six basic extent evolutions of a spatial object: stability, deformation, expansion/contraction, rotation and translation (Claramunt, 1998). An additional evolution, extent evolution branching (merging or splitting), is suggested by Peuquent (Peuquent, 1999).…”

Real-Time Gis and Its Application in Indoor Fire Disaster

“…Therefore, existing TGIS data models mainly focus on recording the apparent states of multi-variable "things" involved in a change by linear timestamps and representing the implicit "happening" by the link of states before and after a change happens (Worboys, 2005). The temporal and spatial facts it records can be used to analyse spatiotemporal change patterns and infer underlying processes and relationship when needed (Claramunt et al, 1998). However, this framework can not support any deeper investigation into changes without explicit details on how and why the states vary in certain order and how the order is influenced especially in continuously changing geographical phenomenon.…”