Tuesday, September 15, 2015

Special Topics Network Analyst Presentation

     Imagine there is a tropical storm or hurricane bearing down on your quiet cul de sac near the beach. You live near downtown, which is on the water, and unfortunately you haven’t had a chance to leave town before the storm arrives. What do you need to know? Where can you go? You were waiting to make sure a loved one got out of a nearby hospital safe before the storm. What’s in place for them during this time? What happens once the storm is gone? Answering these questions is the culmination of the assignment involving a hurricane or other disastrous storm bringing flooding to Tampa Bay, Florida area these past few weeks.  Examining and putting into practice those analyses that a local area or government GIS practitioner in conjunction with other services can use to prepare for this type of disaster was the overarching goal for the culminated products below. I will look at two of the maps that answered some of those questions, which have built on the posts from the past few weeks.
      All of the questions posed above had one base utility which was used for the answer. That utility or suite of analyses was the Network Analyst within ArcMap.  Network analyst takes a network dataset built of paths and junctions such as those found in a road network and utilize specific attributes for impedance, e.g. distance or time, to calculate a preferred route, a closest service center, and overall area etc from one or more points to another. With it and these past weeks I was able to build cartographic answers to the above questions. Lets examine a couple of the answers.


      This is my cartographically favorite map of all of the ones I built. I enjoy this one because it is incredibly simplistic but provides a lot of information, with some enhancements from Corel Draw X7. This map answers the question of what if you have an entire area that needs evacuation and not everyone could or should take the same route. The red route has multiple starting points at the bottom that eventually converge on one shelter in the upper right. More is less with this map as your only key features are labeled; e.g. key roads, routes, and focus items depicted with arrows. I have three focus areas, two larger arrows and one smaller. Looking at these first its clearly important to look at I 275 and Nebraska Ave. Still important but slightly less so is Kennedy Ave, but im not sure why just looking at the picture. Now to back up the visuals there are some Goals and routing information. Big key concepts are presented, as well as a breakdown of routing from different areas of downtown Tampa. I can see from the 4th bullet down, that if im south of Kennedy Ave I should make my way one way over another. At this point its clear cut which way I should go without bogging me down on peripheral information I might not need in the moment of torrential downpour. My theme here, less is more. Lets look at another.



     This is my next favored map of those built this assignment. It is another clean map, but built with an entirely different form and function that the previous one. This is a look at one of those answers to what happens after the storm. It is likely that people staying in a shelter for multiple days while access to their homes is regained will need resupplied. Those doing the resupplying will need a depiction of where to go to do just that. This is a route depiction with directions getting from a start point to an end point without the colored enhancements seen previously. I still maintain all of the essential cartographic elements but have made it strictly functional. It is still pleasant for being all gray scale.
     Other questions were answered through the use of network analysts new service area analysis to show which shelter should be your primary evacuation location based on the area of town you live in. All work with network analyst in these cases was a result of using time as the impedance to generate the quickest possible routes, which are usually the most direct. Being the most direct isnt always the shortest possible distance, but when seconds count you'll hope the analysis was done similarly! The network analyst utilities can have massive impacts on local, city, state and beyond. These were some particularly good examples of its use especially as hurricane season here in the Gulf Coast comes to a close. Thank you.

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