• DocumentCode
    410320
  • Title

    Designing Spatial Analyzer Module in a distributed geographical environment

  • Author

    Torres, Miguel ; Moreno, Marco ; Levachkine, Serguei ; Quintero, Rolando

  • Author_Institution
    Geoprocessing Lab., Comput. Res. Centre, Mexico City, Mexico
  • Volume
    1
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    47
  • Abstract
    To improve the spatial recovery by means of Geographical Information Systems (GIS), a Distributed GIS Application has been designed. This application is focused on making spatial analysis throughout Spatial Analyzer Module (SAM). SAM contains several spatial and mathematical models that have been designed and implemented for detecting landslides and flooding areas. Users can make an analysis to recover the spatial data from different sites using a specification based on Extensible Markup Language (XML). Spatial data are stored in a spatial database into the Enterprise GIS. All spatial processes are executed in the server application to improve the performance of the spatial analysis. The GIS-application has been implemented into ArcMap module of ArcInfo system.
  • Keywords
    XML; data analysis; disasters; floods; geographic information systems; hydrological techniques; ArcInfo system; ArcMap module; Enterprise GIS; SAM; XML; distributed GIS application; distributed geographical environment; extensible markup language; flooding areas; geographical information systems; landslides; mathematical models; spatial analysis; spatial analyzer module; spatial database; spatial models; Cities and towns; Distributed computing; Floods; Geographic Information Systems; Information systems; Object oriented modeling; Relational databases; Spatial databases; Terrain factors; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1293674
  • Filename
    1293674