Module 7: HLS: MEDS Protect Critical Infrastructure

Last week we assembled the Minimum Essential Dataset as defined by DHS for the Boston Metropolitan Statistical Area.     

This week we created new point data (finish line, surveillance points)and utilized data compiled last week to locate streets within a 3 mile buffer surrounding the finish line to define checkpoints.  We used the geographic name data from last week to identify those within the 3 mile buffer to created a summary table.  We focused on the hospitals and showed the 10 closest hospitals to the finish line (omitting specialized hospitals and teaching campuses) by utilizing a near table.  We explored LiDar data using the LAS toolbar, converted LAS Dataset to Raster, utilized the hillshade tool to add depth, and viewshed analysis for potential surveillance points. Lastly we created a Line of Sight in 2D (what was supposed to be for potential camera locations, however I miss read and created the Line of Sight from the proposed surveillance sites).  Also, our survey points were to contain the point number and the elevation.  I set the labels to all with the same python script, but only some of the points were labeled.  Alas, the correction or issue escaped me before due.  We were supposed to transfer this data to 3D in ArcScene, but the copy and paste was being glitchy so that was not possible. This compilation of maps could provide useful information for security and surveillance teams.