2004
DOI: 10.1007/978-3-540-30466-1_5
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A CASE Tool for Geographic Database Design Supporting Analysis Patterns

Abstract: This paper describes the development of an open source CASE tool, the ArgoCASEGEO, and its modular architecture. The ArgoCASEGEO allows the geographic database modelling based on the UML-GeoFrame conceptual model that is specific for Geographic Information Systems applications. The data dictionary associated to the modelled schema is stored as a XML/XMI document, aiming its use by other software. The ArgoCASEGEO follows a design methodology based on a reusable collection of analysis patterns. The analysis patt… Show more

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Cited by 12 publications
(2 citation statements)
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References 9 publications
(6 reference statements)
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“…-InterSIG: the InterSIG project intends to complement and extend the GeoFrame-T framework to modeling of spatial-temporal GDB and documentation of analysis patterns for GDB, as a base for construction of a geographic catalog system; -ArgoCASEGeo: is also a CASE tool under development which the main propose is to explore how an Analysis Patterns Catalog can improve the GIS users' productivity and the GDB quality (Lisboa, 2004). This tool transforms conceptual data schemas into logical implementation of ArcView GIS, Geomedia GIS and TerraLib library.…”
Section: Related and Future Workmentioning
confidence: 99%
“…-InterSIG: the InterSIG project intends to complement and extend the GeoFrame-T framework to modeling of spatial-temporal GDB and documentation of analysis patterns for GDB, as a base for construction of a geographic catalog system; -ArgoCASEGeo: is also a CASE tool under development which the main propose is to explore how an Analysis Patterns Catalog can improve the GIS users' productivity and the GDB quality (Lisboa, 2004). This tool transforms conceptual data schemas into logical implementation of ArcView GIS, Geomedia GIS and TerraLib library.…”
Section: Related and Future Workmentioning
confidence: 99%
“…Horita et al (2015) e Moreira et al (2015) apresentaram iniciativas para monitoramento de risco de enchentes. Hirata et al (2015) (LISBOA FILHO et al, 2004).…”
Section: Introductionunclassified