RT info:eu-repo/semantics/conferenceObject T1 Management and visualization of spatiotemporal information in GIS A1 Escobar MartĂ­nez, Francisco Javier A1 McBride, Simon A1 Ma, Denis K1 GIS K1 Temporal GIS K1 Spatio-Temporal Querying K1 Time Geography K1 Dynamic Segmentation K1 Multimedia K1 GeografĂ­a K1 Geography AB Although Geographic Information Systems (GIS) have been recognised as the mostadvanced technology for the management of geospatial information, they are stillunable to efficiently manage the temporal dimension. Originally this problem affeeted only the study and analysis of highly dynamic phenomena. Today's expansion of GIS technology, the ease to acquire and store geospatial data and the increased capacity of computing technologies to managc large amounl of data have contributed lo the propagation of this problem across the whole geospatial seclor.The extended use of GIS in decision-making processes is increasing the demand fortools able to manage and 10 analyse dynamic geospatial phenomena where thetemporal dimension is crucial. The only temporal model available in commercialGIS packages is based on discretisation of temporal data. Changes are represented asa succession of snapshots. The dynamics and what happens between those stages arenot registered. In addition, this approach presents severe problems due tounavoidable multiplication of data volume, abundant redundancies, loss in queryefficiency and the impossibility of knowing when the exact timing of changes occurs.Since the late 1980s and particularly in the 1990s, researching the temporal changesand the conceptual and technological options available has been undertaken by theGIS and DBMS sectors. The primary objective of the research presented in thispaper is the development of a model for the integration of temporal data with GIS.The method adopted to achieve this objective is based on the combination of TimeGeography principies, its graphic language and dynamic segmentation techniquesused in GIS. Past research has demonstrated that the difficulty to integrate time withGIS has its origin in the continuous nature of time. Dynamic segmentation in GISnetwork analysis has the potential to provide the means for a time-GIS integration in a continuous manner. Lifelines, one of the main Time geography's graphic languageelements, has been modelled as a set of network segments where the dynamics inattribute information has been attached to different time segments rather thandistance segments (for exampIe Euclidean or cost-based) as normally occurs indynamic segmentation. This paper summarises initial findings of the project. Theseoutcomes have the potential to improve the way the geospatial sector currentlyhandles temporal information. However, the static nature of current GIS technologyimpedes an appropriate visualisation of dynamic temporal phenomena. To thiseffect, the paper also explores the possibilities offered by multimedia techniques as a complement to GIS capabilities. YR 2002 FD 2002 LK http://hdl.handle.net/10017/6820 UL http://hdl.handle.net/10017/6820 LA eng DS MINDS@UW RD 28-mar-2024