The visualization methods presented in this paper will serve as the basis for
  larger and more complex visualizations. The methods presented have proven to
  be robust, capable of handling a wide array of data. The improved
  interaction and immersion in the VR environment provides a more efficient and
  beneficial experience for GIS experts than some of the common packages available
  today.

  The method devised by this paper is by no means the end to a line of work. In
  fact, the work presented by this paper will serve as the foundation for a
  series of visualization tools. Because the VR environment is geared towards
  better interaction, experts can work more efficiently. The added sense of
  depth provides the user with more detail than is typical with two-dimensional
  displays, allowing a user more accurately and efficiently analyze GIS data.

  Data set sizes used ranged from tens of polygons, less than a thousand
  triangles, and a $100$~$\times$~$100$ DEM, all the way to hundreds of polygons, tens of
  thousands of triangles, and a DEM that was bigger than $1300$~$\times$~$1100$. While the
  running time and response time of our methods are affected by the size of the
  input, they still cope excellently with large input sets and allow for real-time
  interaction.

  Packages like ArcGIS and Arc~Scene provide users a rich set of features for
  handling GIS data. However, these packages aim to provide as many services as
  relevant (and rightfully so), instead of focusing on one or two very specific
  areas. Since our method runs as a standalone application, we have the ability to
  fine-tune the visualization and the level of interaction.