This lab focused on 3D mapping.  We used ESRI training as the basis of our learning and practice and them implemented some of what we had learned with our own exercise.  Our learning targets were 3D visualization techniques and converting 2D data to 3D.  Using the ESRI tools we learned to create base heights for rater and feature data, how to apply vertical exaggeration, how to improve your map utilizing illumination and back ground color, how to extrude above and below ground features containing elevation values and how to extrude parcel values.  Having completed the ESRI basics it was time to apply some of our skills to converting 2D data to 3D.  We used existing data containing building footprints and a raster surface with elevation data.  We created random points from our building footprint layer using the CID field.  We then added surface information to this sample points layer by using the raster file z values.  We then took our sample points table and used the summary statistics tool to generate a single elevation value for each building by using the z value mean.  We were then able to join the table attributes from our sample point statistics table to our BostonBldgs layer; we exported this data as a file and personal geodatabasefeature class.  We then used ArcScene to extrude our buildings using the Z value.  After completing, we exported this layer to a KMZ file using the Layer to KML tool.  Here was the result in google earth:

Both 2D and 3D have many individualized uses.   2D data can require less expensive software or add-on tools, but can be limiting with respect to ease of understanding when excess layers are incorporated into maps, especially in multivariate situations.  2D also requires the end user to be able to visualize any three dimensional information about the data being conveyed.  For instance, a user unfamiliar with topography might not understand what the contour lines represent.  The same user, however, could readily see the elevation changes with a 3D map.  Creating 3D maps from 2D information can be more expensive and more time consuming, but the ease of visualization, eye-catching depictions, and user interaction can convey more information to the end user.  The ability to better visualize environmental impacts, urban growth, and applied 3D information to value components makes 3D mapping a great tool for planning and presentation.