Skip to main content
SpringerLink
Log in

Data Models in Commercial GIS Systems

  • Reference work entry
Encyclopedia of GIS

Synonyms

Data models; Data representations; Vector Models; Raster Models

Definition

Geographic data models are used to represent real world objects (e. g., buildings, roads, land parcels, rainfall, soil types, hills and valleys, etc.) within a geographic information system. These data models are used by the GIS to perform interactive queries, execute analyses, and produce cartographic maps. Many different data types may be used to model this data. Commercial GIS systems are intended to address diverse user requirements across a broad spectrum of application domains. Some users of these systems are focused on traditional two‐dimensional vector representations of spatial data (e. g., modeling topologically integrated cadastres, road networks, or hydrologic networks), while other users are concerned with raster data obtained from satellite imagery and other aerial image sources. In addition, the advent of Light Detection and Ranging has provided large sources of z-enabled data...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Recommended Reading

  1. Bernhardsen, T.: Geographic information systems: an introduction, 3rd ed. John Wiley & Sons, New York (2002)

    Google Scholar 

  2. Chrisman, N.: Charting the unknown: how computer mapping at Harvard became GIS. ESRI Press, Redlands, CA (2006)

    Google Scholar 

  3. Cooke, D., Maxfield, W.: The development of a geographic base file and its uses for mapping. In: 5th Annual Conference of the Urban and Regional Information System Association (URISA), pp. 207–218 (1967)

    Google Scholar 

  4. DeMers, M.: Fundamentals of geographic information systems, 3rd ed. John Wiley & Sons, New York (2005)

    Google Scholar 

  5. Hoel, E., Menon, S., Morehouse, S.: Building a robust relational implementation of topology. In: Proc. of Symposium on Advances in Spatial and Temporal Databases (SSTD), pp. 508–524 (2003)

    Google Scholar 

  6. Laurini, R., Thompson, D.: Fundamentals of spatial information systems. Academic Press, London (1992)

    MATH  Google Scholar 

  7. Longley, P., Goodchild, M., Maguire, D., Rhind, D.: Geographic information systems and science, 2nd ed. John Wiley & Sons, Chichester, England (2005)

    Google Scholar 

  8. Peucker, T., Chrisman, N.: Cartographic data structures. The American Cartographer, 2(1), 55–69 (1975)

    Article  Google Scholar 

  9. Rigaux, P., Scholl, M., Voisard, A.: Spatial databases with application to GIS. Morgan Kaufmann, San Francisco (2002)

    Google Scholar 

  10. Samet, H.: Foundations of multidimensional and metric data structures. Morgan Kaufmann, San Francisco (2006)

    MATH  Google Scholar 

  11. Schneider, M.: Spatial data types for database systems: finite resolution geometry for geographic information systems. Lecture Notes in Computer Science, vol. 1288, Springer Verlag, Berlin (1997)

    Google Scholar 

  12. Shekhar, S., Chawla, S.: Spatial databases: a tour. Prentice Hall, Upper Saddle River, NJ (2003)

    Google Scholar 

  13. Thill, J.-C.: Geographic information systems in transportation research. Elsevier Science, Oxford, England (2000)

    Google Scholar 

  14. Tomlinson, R.: Thinking about GIS: geographic information system planning for managers. ESRI Press, Redlands, CA (2003)

    Google Scholar 

  15. Zeiler, M.: Modeling our world: the ESRI guide to geodatabase design. ESRI Press, Redlands, CA (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ESRI, Redlands, CA, USA

    Erik Hoel

Authors
  1. Erik Hoel
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, 55455, USA

    Shashi Shekhar (McKnight Distinguished University Professor) (McKnight Distinguished University Professor)

  2. Management Science and Information Systems Department, Rutgers Business School Newark and New Brunswick Rutgers, the State University of New Jersey, Newark, NJ, 07102, USA

    Hui Xiong (Assistant Professor) (Assistant Professor)

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag

About this entry

Cite this entry

Hoel, E. (2008). Data Models in Commercial GIS Systems. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_247

Download citation

Publish with us

Policies and ethics

Search

Navigation