IS428 AY2019-20T1 Assign Lee Hui Xin Anne

Problem & Motivation

St. Himark has been hit by an earthquake, leaving officials scrambling to determine the extent of the damage and dispatch limited resources to the areas in most need. They quickly receive seismic readings and use those for an initial deployment but realize they need more information to make sure they have a realistic understanding of the true conditions throughout the city.

In a prescient move of community engagement, the city had released a new damage reporting mobile application shortly before the earthquake. This app allows citizens to provide more timely information to the city to help them understand damage and prioritize their response. In this mini-challenge, use app responses in conjunction with shake maps of the earthquake strength to identify areas of concern and advise emergency planners. Note: the shake maps are from April 6 and April 8 respectively.

With emergency services stretched thin, officials are relying on citizens to provide them with much needed information about the effects of the quake to help focus recovery efforts.

By combining seismic readings of the quake, responses from the app, and background knowledge of the city, help the city triage their efforts for rescue and recovery.

Task Questions:

1. Emergency responders will base their initial response on the earthquake shake map. Use visual analytics to determine how their response should change based on damage reports from citizens on the ground. How would you prioritize neighborhoods for response? Which parts of the city are hardest hit?
2. Use visual analytics to show uncertainty in the data. Compare the reliability of neighborhood reports. Which neighborhoods are providing reliable reports? Provide a rationale for your response. Limit your response to 1000 words and 10 images.
3. How do conditions change over time? How does uncertainty in change over time? Describe the key changes you see. Limit your response to 500 words and 8 images.

Information Gathering

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Data Analysis & Transformation Process

The datasets usually requires cleaning and transformation before it can be sensibily analyzed. It is important to have a proper understand of the Data, knowing whether the numbers are Categorial or Continuous data and to ensure that it is in the right format. This section will elaborate on the dataset analysis and transformation process before it can be imported for Interactive Visualization analysis.

The Data was collected using the Rumble App which crowd sources damage reporting, by collecting information about reporting time, location and different area’s shake intensity with 0 being the lowest and 10 being the highest.

The following section illustrates the issues faced in the data analysis phase leading to a need to transform the data into specificed format.

Issue 1

Issue: The report data provided the shake intensity of various facilities in their specific rows, making analysis by various facilities difficult.

Solution: Data cleaning was performed to pivot the various facilities into a single column called Area using Tableau Prep. By doing so, the shake intensity can be filtered and visualized according to the various areas.

Data set Import Structure & Process

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Interactive Visualization

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Interesting & Anomalous Observations

Using the dashboard as a platform for investigation and analysis, the following aims to provide answers to the question posed.