• DocumentCode
    2304168
  • Title

    Application of Automated Testing Tool in GIS Modeling

  • Author

    Maogui, Hu ; Jinfeng, Wang

  • Author_Institution
    Inst. of Geographic Sci. & Natural Resources Res., CAS, Beijing, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    184
  • Lastpage
    188
  • Abstract
    Geographic information system is widely used in kinds of domains, including environment, resources, public health, and crime. Along with the rapid development of spatial science and technology, vast spatial data are received every day, especially the remote sense data. It´s impossible to process these data by hand step by step. In order to make full use of these data, it´s imperative to find more efficient ways to turn the scale. More importantly, except the complicated spatial analysis in GIS modeling, there are usually complex simulation and calculation in various intricate applications. Although GIS is powerful in spatial visualizing and analysis, it is weak in advanced statistic and numeric computation. How to improve this situation becomes another important problem in GIS to solve. In this study, we introduced an idea of automation, which is widely used in software development testing, into GIS modeling and application. At the beginning, we give an introduction of the popular automated testing tool Auto It, the famous GIS software ArcGIS, and the powerful computation system MATLAB. Then, three types of integration modes are given to illustrate how to combine the automated tool into GIS and MATLAB. It shows that it becomes more flexible and easier with the management of the automated tool to construct complicated model and application. An empirical example demonstrates the main ideas and merits of the method. Finally, we draw conclusion.
  • Keywords
    geographic information systems; mathematics computing; program testing; ArcGIS; Auto It; GIS modeling; MATLAB; automated testing tool; geographic information system; integration modes; software development testing; Application software; Automatic testing; Computational modeling; Geographic Information Systems; MATLAB; Mathematical model; Power system modeling; Public healthcare; Remote sensing; Software testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.94
  • Filename
    5319530