EAE 452 - Geovisualization

← Back to Home Web Mapping - Northern Illinois University - Lab8-1 This is a web map created for lab-8-1 for EAE 452. In this map we used the Google Maps API and some Javascript coding to create our own map. For mine, I disabled the map controls and created a red border around the outside of the map. The Holmes Student Center is marked as a map marker and has a pop up when you click it. For the image, I had to get the most recent image of the Holmes Student Center off of NIU's website because the one provided in the lab had a broken link. Click around and explore the map! Ryan Facks - zID 2027325 Google Maps Layers - Lab-8-2 This is a Google maps web map that we used ArcGIS to create the layer in. The map shows the unemployment rates for Illinois Counties in 2020. I used a ColorBrewer2.org scheme to symbolize this map and ensure that it is color blin...

← Back to Home Chicago Divvy Bike Usage Dashboard (EAE 452 Final Project) This dashboard is used for my final project for EAE 452. This dashboard seeks to provide a spatial temporal analysis of Divvy Bike usage across Chicago in 2019. I restricted my analysis to a single full year for two main reasons. One, the Chicago data portal only has data for 2013 - 2019 and two, there are simply too many records for Tableau to handle on my computer if I include all available data (It was over 21 million records!). The dashboard is constructed with four main components; The map view of stations and their usage numbers, the trips by hour bar chart, and the total trips bar chart, and an embeded Google maps area. All four elements are connected together due to a shared data source, dashboard actions, and there are data filters to further drill down on the data. For example, you can select a particular day of the week an...

← Back to Home Chicago Private School Enrollment (Lab 7 - Dashboard 1) This dashboard was created using Chicago Data Portal public data on the enrollment status of private schools within Cook County Illinois. The dashboard consists of four main components which are a map symbolized by each town, a map showing enrollment numbers that is symbolized by color and proportional size, a listing of all address locations, and a Google Maps viewer that shows the satellite view of a selected location. All of the elements of this dashboard are tied together so if you click on a data point in one, it will zoom-to and/or highlight the corresponding data point in all of the other dashboard components. This dashboard seeked to employ our understanding of color and color blind friendly map making by using the website ColorBrewer2.org to find a color pallete that is suitable for the most amount of audiences. Addtionally, I ...