Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11742
Title: A data model and query language for spatio-temporal decision support
Authors: Gomez, Leticia
KUIJPERS, Bart 
Vaisman, Alejandro 
Issue Date: 2011
Publisher: Springer-Verlag
Source: GEOINFORMATICA, 15(3). p. 455-496
Abstract: In recent years, applications aimed at exploring and analyzing spatial data have emerged, powered by the increasing need of software that integrates Geographic Information Systems (GIS) and On-Line Analytical Processing (OLAP). These applications have been called SOLAP (Spatial OLAP). In previous work, the authors have introduced Piet, a system based on a formal data model that integrates in a single framework GIS, OLAP (On-Line Analytical Processing), and Moving Object data. Real-world problems are inherently spatio-temporal. Thus, in this paper we present a data model that extends Piet, allowing tracking the history of spatial data in the GIS layers. We present a formal study of the two typical ways of introducing time into Piet: timestamping the thematic layers in the GIS, and timestamping the spatial objects in each layer. We denote these strategies snapshot-based and timestamp-based representations, respectively, following well-known terminology borrowed from temporal databases. We present and discuss the formal model for both alternatives. Based on the timestamp-based representation, we introduce a formal First-Order spatio-temporal query language, which we denote t able to express spatio-temporal queries over GIS, OLAP, and trajectory data. Finally, we discuss implementation issues, the update operators that must be supported by the model, and sketch a temporal extension to Piet-QL, the SQL-like query language that supports Piet.
Document URI: http://hdl.handle.net/1942/11742
ISSN: 1384-6175
e-ISSN: 1573-7624
DOI: 10.1007/s10707-010-0110-7
ISI #: 000290845100004
Category: A1
Type: Journal Contribution
Validations: ecoom 2012
Appears in Collections:Research publications

Show full item record

SCOPUSTM   
Citations

10
checked on Sep 2, 2020

WEB OF SCIENCETM
Citations

8
checked on May 13, 2022

Page view(s)

48
checked on May 15, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.