← Back to Home

Hurricane Season in 2012 - Lab 9 - Part 2

In the second part of lab 9, we created a temporally animated map displaying the hurricane season of 2012. To better organize and visualize our results, we made a dashboard in Tableau. In the dashboard, the map is the main focus of the dashboard, with a title and description at the top. I put all of the data filters on the right side of the dashboard as well as data credits and author information at the bottom right. In the data filters, the most important one is the ISO time filter which allows you to scroll with the time chart or simply hit the play buttom to have the time series go. Additonally, you can filter by Basin or hurricane name down below as well as see the legend for the proportional size to wind metrics. There is an embedded video down below to show the map actually animated because Tableau public does not allow it natively. Ryan Facks - zID 2027325

Embedded video

← Back to Home

Question for Lab 9 - Which fields in the attribute tables are critical to implement the animations in both the population change and hurricane paths? How are the fields organized?

For the population change exercise, the critical fields are the start date and the end date as these both drive the temporal aspect of our animation. If we did not have the start and end time, we would not be able to create key frames that span the decades. Additionally, the actual shape and location of our shapefile is critical to actually map the counties. The population field obviously drives our symbology for both our 2D map as well as the extursions for the 3D moap. For the hurricane paths exercise, the cirtical fields are the ISO date time, the latitude and longitude, and the hurricane name fields. The name helps us label our hurricanes that we plot with the latitude and longitude fields. The ISO date time allows us to create a temporal filter for our map and have it be animated based on time. For both of the datasets, their tables have records that refer to individual items where the population shapefile has each record representing a county and the hurricane spreadsheet having each record indicate an individual hurricane. Ryan Facks - zID 2027325

Comments

Post a Comment

Popular posts from this blog

Home

Image
EAE 452/552 Geovisualization Created by Ryan J Facks Hello Class! This is Ryan Facks EAE 452 webpage for use in assignments and projects. Department of Earth, Atmosphere and Environment Northern Illinois University Blogger Home Page Home Lab Assignments Lab 1 Figure 2-12 Lab 1 Figure 2-13 Lab 2 - Tasks 1 - 3 Lab 2 - Tasks 4 - 5 Lab 3 - Tasks 1 - 2 Lab 3 - Task 3 Lab 4 - Task 1 part 1 and 2 Lab 4 - Task 2 Lab 4 - Task 3 Lab 5 - Task 1 Lab 5 - Task 2 Lab 6 - Dashboard Lab 7 - Dashboard 1 and 2 Lab 8 - Web Map 1 and 2 Lab 9 - Task 1 - Part 1 and 2 Lab 9 - Task 2 - Dashboard, v...
Read more

Final Project - Chicago Divvy Bike Usage in 2019

Image
← 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...
Read more

Chicago Private School Dashboard and USA Child Poverty Dashboard (Lab 7 - Week 8)

Image
← 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 ...
Read more