EAE 452 - Geovisualization

← Back to Home Global Internet Usage Dashboard (Lab 6 - Task 1) This is a dashboard that we created using the global internet usage data provided by our textbook. This dashboard contains three parts, a global map, a timeline over years, and a scrollable ranking element. To help the user comprehend the data, we added text elements such as a title, a paragraph explaining what the data is, and filters. In the top right, you can see filters for region and the data selected which apply to all three dashboard elements. Additionally, in the bottom right there is a single value "Year" slider that applies to all of the individual sheets. There is also a legend for each color coded region as well as a "current year" element that changes dynamically. Data credits and creation date information can be found in the bottom right. Explore the data! Ryan Facks - zID 2027325 ...

← Back to Home NFL Stadium Shapes with PNG shapes (Figure 11-8) This map is a map of the NFL stadium's with PNG files used as shapes. For this map, we used png images to represent the domed, open, and retractable stadium types. We used a dark background for this map to allow the shapes to "pop out." Ryan Facks - zID 2027325 NFL Stadium Circle Shapes, Light Backgorund, and Annotations (Figure 11-9) This map is a map of the NFL stadium's with simple circle shapes indicating domed, open, and retractable roofs. This map uses a lighter background than the one above and also applies annotations to "callout" teams that are clustered too close together. Ryan Facks - zID 2027325 Discussion: Figure Ground R...

← Back to Home Dual Axis Map of Global Internet Usage (Lab 5 Part 1) This is a dual axis map of global internet usage that we used the Tableau saved data sources under world indicators to create. This map is a cloropleth map that shows average internet usage per capita across the world. This map also has a cirlce across each region that shows the number of internet users with a circle with scaling size to represent the value. This map is effective because it helps to solve some of the geographic biases that happen due to the size of certain countries. As we discussed in last week's discussion, there are biases where people often believe that smaller sized values are less important, or in this case, small countries. This helps solve problems such as the fact that countries such as Russia or Canada which are huge, might have actually small numbers of internet users. Additionally, layering on the circles on top of the shaded regions ...

← Back to Home United States Presidents Lifespan and Time in Office Timeline (Lab 4 Task 3) For lab 4 task 3, we created a timeline of U.S.A. presidents, their lifespan, and their time in office. We had to begin this project with some slight data entry to update the presidents excel sheet to include Donald Trump and Joe Biden. Additionally, we had to unfortunately mark the passing of Jimmy Carter and George H. W. Bush. This timeline chart also has some reference lines and bands representing major time periods for America such as the Declaration of Independence and major wars fought. A slight trend that I notice immediately is that the lifespan of presidents has gradually increased as we approached the 21st century. This could be attributed to the fact that modern medicine allows humans to generally live long and the average life span has increased in a developed country such as the U.S.A. Ryan Facks...

← Back to Home Timeline Chart of Rat Sightings in New York Boroughs 2010 - 2013 with Two Year Forecase (Lab 4 - Task 2) In the second task for lab 4, we created a timeline chart for rat sightings in New York Boroughs. Our chart shows the x-axis as time, aggregated to the Month of the sighting, and our y-axis shows the number of rat sightings. A new feature we used in this lab, was to forecast future data points. If we look to the right side of the chart, we can see some slightly transparent data points that are predicted values. The slightly transparent lines show predictions for potential data values of rat sightings across time for the years of 2014 and 2015 where we do not have data. This could be useful for city planning as well as pest control organizations in order to allocate resources to appropriate boroughs. As with some of our discussion boards, I think it is needed that a disclaimer be put on the chart tha...

← Back to Home Dual Axis Chart of MLB Strikeouts Per Game and Pitchers Per game (Lab 4 Task 1) In this lab we created a dual-axis chart between average strikeouts per game and pitchers per team for the MLB. Additionally, we added trend lines for each axis and a reference line for the year 1969. Upon analyzing the data, we can see that their is a strong coorelation between the number of pitchers and the average amount of strikeouts per game as years have gone on. This tends to make sense because the more pitchers participating in each game as the sport became more popular, the more likely it is have a strikeout per game. One could also argue that as the sport became more popular, pitchers refined their techniques to allow for more strikeouts. Ryan Facks - zID 2027325 Connected Sca...

← Back to Home USA Child Poverty Rates by County (Lab 3 Task 3) In this lab, we created a four quadrant scatter plot based on child poverty rates in the US per state and county provided to us via Blackboard. In our chart, we included a vertical average line for the poverty rate of children under 18 and a horizontal average line for the percent of young adults age 25-44 with less than high school diploma. We used a scatter plot to plot the data points and symoblized them by color with darker red/orange being a higher poverty rate and white/gray being a lower poverty rate. - Ryan Facks zID 2027325 The relationship between child poverty rate, adult education and percent of single parent households. There appears to be a direct coorelation between single parent households and lower adult education. Consequently, the lower education appears to indicate a higher rate of poverty amongst communitie...

← Back to Home NHL Career Points Leaders (Lab 3 Task 1) This is the first scatter plot created for task 1 in our 3rd lab for EAE 452. The scatterplot describes the relationship between Career Goals and Career Assists in the NHL top 100. In this excersise, we used filters to allow the user to explore the data at their own discretion. You can manipulate the data with the sliders and radio buttons on the right. - Ryan Facks zID 2027325 ← Back to Home NHL Goals Per Shot Quadrant Chart (Lab 3 Task 2) This is the four quadrant scatter plot for lab 3 task 2. In this scatterplot, we have average shots line going vertical and average goals line going horizontal to split the data into four quadrants. This helps us categorize players into high and low accuracy, and high and low production. We also label the players names ...