A data model and query language for spatio-temporal decision support

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 wo...

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Detalles Bibliográficos
Publicado: 2011
Materias:
GIS
OLAP
SOLAP
Spatio-temporal databases
Data models
Decision supports
First-order
Formal model
GIS layers
Moving objects
On-line analytical processing
Real-world problem
Spatial data
Spatial objects
Spatial OLAP
Spatio-temporal
Spatio-temporal database
Spatiotemporal queries
System-based
Temporal Database
Temporal extensions
Thematic layers
Timestamping
Trajectory data
Update operators
Decision support systems
Geographic information systems
Models
Query languages
Search engines
data mining
database
decision support system
numerical model
software
spatial data
thematic mapping
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13846175_v15_n3_p455_Gomez
http://hdl.handle.net/20.500.12110/paper_13846175_v15_n3_p455_Gomez
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_13846175_v15_n3_p455_Gomez
record_format dspace
spelling paper:paper_13846175_v15_n3_p455_Gomez2023-06-08T16:12:33Z A data model and query language for spatio-temporal decision support GIS OLAP SOLAP Spatio-temporal databases Data models Decision supports First-order Formal model GIS GIS layers Moving objects OLAP On-line analytical processing Real-world problem SOLAP Spatial data Spatial objects Spatial OLAP Spatio-temporal Spatio-temporal database Spatiotemporal queries System-based Temporal Database Temporal extensions Thematic layers Timestamping Trajectory data Update operators Decision support systems Geographic information systems Models Query languages Search engines data mining database decision support system GIS numerical model software spatial data thematic mapping 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 Lt, 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. © 2010 Springer Science+Business Media, LLC. 2011 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13846175_v15_n3_p455_Gomez http://hdl.handle.net/20.500.12110/paper_13846175_v15_n3_p455_Gomez
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic GIS
OLAP
SOLAP
Spatio-temporal databases
Data models
Decision supports
First-order
Formal model
GIS
GIS layers
Moving objects
OLAP
On-line analytical processing
Real-world problem
SOLAP
Spatial data
Spatial objects
Spatial OLAP
Spatio-temporal
Spatio-temporal database
Spatiotemporal queries
System-based
Temporal Database
Temporal extensions
Thematic layers
Timestamping
Trajectory data
Update operators
Decision support systems
Geographic information systems
Models
Query languages
Search engines
data mining
database
decision support system
GIS
numerical model
software
spatial data
thematic mapping
spellingShingle GIS
OLAP
SOLAP
Spatio-temporal databases
Data models
Decision supports
First-order
Formal model
GIS
GIS layers
Moving objects
OLAP
On-line analytical processing
Real-world problem
SOLAP
Spatial data
Spatial objects
Spatial OLAP
Spatio-temporal
Spatio-temporal database
Spatiotemporal queries
System-based
Temporal Database
Temporal extensions
Thematic layers
Timestamping
Trajectory data
Update operators
Decision support systems
Geographic information systems
Models
Query languages
Search engines
data mining
database
decision support system
GIS
numerical model
software
spatial data
thematic mapping
A data model and query language for spatio-temporal decision support
topic_facet GIS
OLAP
SOLAP
Spatio-temporal databases
Data models
Decision supports
First-order
Formal model
GIS
GIS layers
Moving objects
OLAP
On-line analytical processing
Real-world problem
SOLAP
Spatial data
Spatial objects
Spatial OLAP
Spatio-temporal
Spatio-temporal database
Spatiotemporal queries
System-based
Temporal Database
Temporal extensions
Thematic layers
Timestamping
Trajectory data
Update operators
Decision support systems
Geographic information systems
Models
Query languages
Search engines
data mining
database
decision support system
GIS
numerical model
software
spatial data
thematic mapping
description 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 Lt, 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. © 2010 Springer Science+Business Media, LLC.
title A data model and query language for spatio-temporal decision support
title_short A data model and query language for spatio-temporal decision support
title_full A data model and query language for spatio-temporal decision support
title_fullStr A data model and query language for spatio-temporal decision support
title_full_unstemmed A data model and query language for spatio-temporal decision support
title_sort data model and query language for spatio-temporal decision support
publishDate 2011
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13846175_v15_n3_p455_Gomez
http://hdl.handle.net/20.500.12110/paper_13846175_v15_n3_p455_Gomez
_version_ 1768546457904742400

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