DESIGNING GEOGRAPHIC ANALYSIS PROCESSES ON THE BASIS OF THE CONCEPTUAL FRAMEWORK GEOFRAME

Cláudio Ruschel, Cirano Iochpe, Luciana Vargas da Rocha, Jugurta Lisboa F.

Abstract

The investment in geographic information systems (GIS) is usually justified by their ability of supporting the execution of geographic analysis processes (GP). The conceptual design of a GP makes it independent of a specific GIS product and enables designers to define the process at a high level of abstraction using a language that enforces a set of logical constraints and is yet easy to learn. On the other hand, in order to support interoperability a GP conceptual model should be sufficiently generic to allow a GP definition to be translated to any of the logical data models implemented by existing GIS commercial products. This paper presents an extension to GeoFrame, a conceptual GIS framework that supports the conceptual design of spatio-temporal, geographic databases (GDB). This extension is actually a conceptual GP data model relying on a set of UML diagrams as well as on a methodology of how to apply them to analysis process design. On the basis of the PGeoFrame-A, the definition of a GP starts by the identification of its associated use cases. Both control and data flows are described by means of activity diagrams with the new modeling constructs provided by UML 2.0. Input as well as output data introduced in the workflow definition are described in detail through a class diagram. In this way, CASE tools based on UML can be adapted to translate GP conceptual design to the specific scripts as well as macro definition languages of different existing GIS products.

References

  1. Albrecht, J., 1996. Universelle GIS Operations for Environment Modeling. In Proceedings of the 3.nd International Conference on Integrating GIS and Environmental Modeling. Santa Barbara.
  2. Aronoff, S., 1989. Geographic Information Systems: a management perspective. WDL Publications, Ottawa.
  3. Booch, G., Jacobson, Y., Rumbagh, J., 1999. The Unified Modeling Language User Guide. Addison-Wesley, New York.
  4. Câmara, G., et al., 2000. Towards a Unified Framework for Spatial Data Models. J. Braz. Comp. Soc. Porto Alegre, 7(1), 17 - 25.
  5. Câmara, G., Onsrud, H., Monteiro, A.M.V., 2004. Eficcacious Sustainability of GIS Development within a Low income Country: The Brazilian Experience. INPE. In: www.dpi.inpe.br/terralib.
  6. Chrisman, N., 1997. Exploring Geographic Information Systems. John Wiley & Sons, New York.
  7. Davis Jr, C. A., Laender, A. H. F., 1999. Multiple representations in GIS: materialization through map generalization, geometric, and spatial analysis operations. In Proceedings. 7th ACM GIS, Kansas City, 60--65.
  8. Gentleware, 2004. Poseidon for UML. www.gentleware.com.
  9. Goodchild, M., 1990. Geographical Data Modeling. In A. Frank, M. Goodchild, Two Perspective on Geographical Data Modeling. NCGIA, Santa Barbara.
  10. Kösters, G. et al., 1997. “GIS-Application Development with GeoOOA”. Int. Jounnal of GIS, 11(4).
  11. Lisboa Filho, J., Iochpe, C., Borges, K. A., 2002. Analysis patterns for GIS data schema reuse on urban management applications. In CLEI Electronic Journal, v.5, n.2.
  12. Lisboa Filho, J., Iochpe, C., 1999. Specifying analysis patterns for geographic databases on the basis of a conceptual framework. In Proceedings 7th ACM GIS, Kansas City, 7-13.
  13. Lisboa Filho, J., Sodré, V. F., Daltio, J. Rodrigues Jr, M. F., Vilela, V., 2004. “A CASE tool for geographic database design supporting analysis patterns”. Conceptual Modeling for Advanced Application Domains. Proc. of ER2004 Workshop on Conceptual Modeling for Geographic Information Systems (CoMoGIS), Shanghai, China. LNCS 3289.
  14. Object Management Group, 2004. UML 2.0 SuperStructure Specification. www.omg.org
  15. Oliveira, J.L., Pires, F., Medeiros, C.B., 1997. An Environment for Modeling and Design of Geographic Applications. GeoInformatica, v.1, Kluwer, Boston, 29-58.
  16. Open GIS Consortium., 2001. The OpenGIS abstract specification, topic 1: feature geometry, version 5.. www.opengis.org.
  17. Parent, C. et al. “Spatio-temporal conceptual models: data structures + space + time”. In Proc.7th ACM GIS, Kansas City, 1999.
  18. Quatrani, T., 19997. Visual Modeling with Rational Rose and UML. Addison-Wesley.
  19. Rocha, L. V., Edelweiss, N., Iochpe, C., 2001. GeoFrameT: A Temporal Conceptual Framework for Data Modeling. In Proc. 9th ACM GIS, Atlanta, 124-129.
  20. Ruschel, C., 2003. Extending the Framework GeoFrame for supporting Geographic Analysis Processes. Porto Alegre: PPGC-UFRGS. Master Degree Dissertation (in portuguese). www.inf.ufrgs.br/ciochpe.
  21. Tomlin, C. D., 1991. Cartographic Modeling. In: D. Maguire et. al. Geographical Information Systems. Longman, 362--374.
Download


Paper Citation


in Harvard Style

Ruschel C., Iochpe C., Vargas da Rocha L. and Lisboa F. J. (2005). DESIGNING GEOGRAPHIC ANALYSIS PROCESSES ON THE BASIS OF THE CONCEPTUAL FRAMEWORK GEOFRAME . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 972-8865-19-8, pages 91-97. DOI: 10.5220/0002533300910097


in Bibtex Style

@conference{iceis05,
author={Cláudio Ruschel and Cirano Iochpe and Luciana Vargas da Rocha and Jugurta Lisboa F.},
title={DESIGNING GEOGRAPHIC ANALYSIS PROCESSES ON THE BASIS OF THE CONCEPTUAL FRAMEWORK GEOFRAME},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2005},
pages={91-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002533300910097},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - DESIGNING GEOGRAPHIC ANALYSIS PROCESSES ON THE BASIS OF THE CONCEPTUAL FRAMEWORK GEOFRAME
SN - 972-8865-19-8
AU - Ruschel C.
AU - Iochpe C.
AU - Vargas da Rocha L.
AU - Lisboa F. J.
PY - 2005
SP - 91
EP - 97
DO - 10.5220/0002533300910097