Thursday, November 14, 2013

#9 Super Typhoon

http://www.nytimes.com/interactive/2013/11/11/world/asia/typhoon-haiyan-map.html?_r=0

 
This map shows the storm surge from the recent Typhoon Haiyan....
 

#8 Bivariate Map



http://www.geo.uzh.ch/~annal/Choropleth%20maps.html

Bivariate Choropleth Map, with link

Really Fascinating Dot Density Map #7

http://demographics.coopercenter.org/DotMap/index.html

This map highlights the racial population of the United States. You can zoom in and out to specific zones, where 5 different colored dots can be found, representing the different races found in the States.

Dot Density Post

http://www.youtube.com/watch?v=4gkJTJIPWqo

Really cool interactive map of World Air Traffic, I think this data is from 2008, of a 24 hour time period.

Post #6 Isoline Map



North Carolina/Virginia Map showing the Median Growing Season... I found the use of color along with the color of the contours to fit very well together, both being easily readable and the colors fit in well with the data.

Weekly Blog Post #5 Color

I find this map to use color in an interesting way, as the red highlights the Tube in London, England.

Wednesday, November 6, 2013

Final Project Statement

The number of international flights into the U.S per day-
Airfare has always been of some interest to me. I have lived in the DC/Northern Virginia area my entire life, and less than 20 minutes away is one of the biggest international airports in the world, The Dulles Airport. Planes fly by all the time, some get so close they you can see their shadows driving down 28. Being so close to this sought after zone made me start to wonder just how many flights there are per day, not just to Dulles, but to all airports in the United States.
I have never left the country before (I don’t even have a passport) yet some people fly back and forth between the United States and other countries quite frequently. That is why I’m choosing to map international flights, as opposed to domestic or national flights. I would select only commercial airlines and exclude any military, postal, or private aircraft.
The audience for such a map would mainly be frequent flyers. Though this would be most helpful for flyers leaving or entering the United States, it would still be helpful for those staying within state boundaries as well. It is important for such flyers to know the popularity of U.S airports and the volume of people going through the doors on a daily basis.
I’m envisioning a map of the United States, without the exclusion of Hawaii and Alaska. I would definitely have a dot density map, with each dot representing the number of flights, as well as include color to represent which airline is being used. This will not only show popularity among locations but popularity among airline as well.
 I would like to collect my data from the most current date as possible. So far the best I could find is from 2008 but I am still searching for even newer data. The complexity of the data is very high due to all the factors that either needs to be taken into account or excluded. Such factors include: time of day, type of flight, airline, airport, location, and destination. This WILL NOT be an accurate map, rather more of a summary.
I will need a basemap of the United States, but it is not necessary to be broken into counties.
The first step of this project will be to do lots and lots of research. I am anticipating this to be the hardest part of my project. I have a few areas of research I could look at, such as the campus library, internet, and even the Dulles Airport itself might be of some help. My next step will be to use the gathered data and begin to construct the actual map. I will begin by selecting one airline and giving it a color to represent it. I will show all the U.S airports it goes to and apply the dots as necessary. I will continue this process for each airline and will include a color change. Lastly, one my map has been constructed I will decide on fonts and play with sizing and apply it to my blog.
I expect many challenges to arise as I continue this project. A few include not getting enough accurate information to make a useful map, getting commercial and non-commercial flights mixed up, as well as getting international and national flights mixed up.
useful websites: