The Logic of Selecting an Appropriate Map Projection in a Decision Support System (DSS)

  • Michael P. FinnEmail author
  • E. Lynn Usery
  • Laura N. Woodard
  • Kristina H. Yamamoto
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


There are undeniable practical consequences to consider when choosing an appropriate map projection for a specific region. The surface of a globe covered by global, continental, and regional maps are so singular that each type distinctively affects the amount of distortion incurred during a projection transformation because of the an assortment of effects caused by distance, direction, scale , and area. A Decision Support System (DSS) for Map Projections of Small Scale Data was previously developed to help select an appropriate projection. This paper reports on a tutorial to accompany that DSS. The DSS poses questions interactively, allowing the user to decide on the parameters, which in turn determines the logic path to a solution. The objective of including a tutorial to accompany the DSS is achieved by visually representing the path of logic that is taken to a recommended map projection derived from the parameters the user selects. The tutorial informs the DSS user about the pedigree of the projection and provides a basic explanation of the specific projection design. This information is provided by informational pop-ups and other aids.


Geographic Information System Decision Support SystemDecision Support System Equal Area Conic Projection Equal Area Projection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors acknowledge Mr. Jason Trent and Mr. James Nelson, two former USGS Computer Scientist Trainees, for their work on this version of the DSS. In particular, we are most grateful to Mr. James Nelson for his outstanding efforts on the tutorial and the corresponding Java development. In addition, we thank Misters David M. Mattli and Brian Passuello, USGS Computer Scientists for assistance in keeping the DSS current. Further, we thank Professor Emeritus Nedjeljko Frančula, University of Zagreb, for his valuable comments during the review of the manuscript.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Michael P. Finn
    • 1
    Email author
  • E. Lynn Usery
    • 2
  • Laura N. Woodard
    • 2
  • Kristina H. Yamamoto
    • 1
  1. 1.Center of Excellence for Geospatial Information ScienceU.S. Geological Survey (CEGIS), Denver Federal CentreDenverUSA
  2. 2.Center of Excellence for Geospatial Information ScienceU.S. Geological Survey CEGISRollaUSA

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