Home | Introduction | Data sources
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Methodology
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Cartographic Model | Conclusion |
IntroductionSo, what is this site all about |
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Purpose of the web site
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History of my projectI had chosen the NFL as a topic for my project initially because of my friend in the computer science department had just received a contract with the NFL to create a scheduling program for them. I initially thought I was going to create an alternative schedule using GIS methods to look at travel time, distance, tv market, etc. Then I would compare my results with the program that the computer science 'geeks' came up with. As I continued to look into the problem I discovered my original project was unfeasible for a couple of reasons.
Needing a topic for this assignment I stuck with the NFL and augmented the project into a question of team location. If the NFL team owners are located to maximize their profits by covering the greatest fan base and tv market. |
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ImportanceThe significance of this project would be simply MONEY. NFL franchises are rare with only 31 in the world. By most accounts they all do very well financially and by limiting the exclusive club of owners they drive up the market value of all teams. Profit drives team owners. Having more money is always important to multimillionaires. With this project the prime locations across the US could be determined for locating a NFL stadium for maximum benefit from population distribution. The NFL works on a profit sharing model so the desire to take away from others market share is not as strong as in Major League Baseball. The TV rights are not to local independent stations, so a greater area coverage would be better for the entire NFL.Other professional examples
BaseBall was force to release its financial
figures recently because they were crying wolf about how much money they were
losing and the need of public subsidy to keep "America's Game" afloat. The
numbers they produced can be found at ESPN . |
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Intended Audience
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Quick FiguresOfficial overall paid attendance in the NFL
for the 2001 season was 16,244,538 for an average per game crowd of 65,502
over 248 games. The financial numbers are excellent but there
is always need for improvement. |
Home | Introduction | Data sources
|
Methodology
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Cartographic Model | Conclusion |