Title:
Washington, D.C.: The Next Great American TechHub.
The top 15 Start-ups in the D.C. Metro Area.
Info: With over
800 local startups and the home of the world’s biggest VC firm, many believe
D.C. is on its way to being the next Silicon Valley.
Why: I chose this topic because I am the
founder and of T & T Industries Inc., a local tech startup located in Northern
Virginia. I understand how difficult the
initial networking and fundraising stages can be when you don’t know where to
begin. This map will provide a glimpse
into the tech-startup industry in the D.C. Metro area, and hopefully motivate
up and coming entrepreneurs.
Audience: Students,
Local Entrepreneurs, Other Startups, Local General Public.
Type of Map: I plan on the map being a reference style
map identifying the locations
of the entities being mapped. I will also use
graduated symbols to show the amount of funding raised by each.
Scope of Map: Northern
Virginia, Washington D.C., Western Maryland.
Data Specs: The
data used will be geographic location and fundraising. The information will be gathered from www.dc.areastartups.com, and http://www.crunchbase.com/. I am not able to verify the
fundraising/capital, but the location of each entity should be fairly accurate
by using googlemaps for verification.
Basemap Needed: Full
tri-state map of Virginia, D.C., Maryland.
Expected Production
Steps: I plan on breaking the
process down into four major steps.
Step #1: I first plan on finding and selecting the
appropriate base map, then cropping the boundary to the size needed, and
readjusting as needed. In this step I
will also select the symbol used for the items being mapped.
Step #2: In this step I will begin mapping the data and determining the appropriate size symbol for each phenomenon and how the data should be grouped/ordered.
Step #3: Next I will choose my background, colors, gradient, etc.
Step #4: Finally I will insert the title, legend, neat line, scale, data source, name, etc.
Step #2: In this step I will begin mapping the data and determining the appropriate size symbol for each phenomenon and how the data should be grouped/ordered.
Step #3: Next I will choose my background, colors, gradient, etc.
Step #4: Finally I will insert the title, legend, neat line, scale, data source, name, etc.
Once completed I will review the map and make any necessary changes
to ensure it is balanced and easy to understand/interpret.
Possible Challenges: I believe there may be some issue with
selecting a good border of the states, and making sure it works with the proper
scale. The data is spread from Reston,
Va to Silver Spring Maryland, and because D.C. is so small it may be hard to
include all of the locations and still maintain neatness and readability.
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