IS428 AY2019-20T1 Assign Nurul Khairina Binte Abdul Kadir

VAST 2019 MC1: Crowdsourcing for Situational Awareness

Introduction

Data Preparation

Overview Exploration

Pattern Detectoin

Interactive Visualization

Comments

Problem and 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. The city has released a new damage reporting mobile application called Rumble before the earthquake. Rumble allows citizens to provide more timely information to the city to help them understand the damage and prioritize their response. The app responses, shake maps of the earthquake strength and background knowledge of the city will be used to identify areas of concern and advise emergency planners.

Emergency responders can benefit greatly from using crowdsourced data. However, the reliability and quality of the reports made by citizens are a key concern. It can be a challenge for emergency responders to use crowdsourced data for decision making since false reports could have been made. Anyone can download the application and report the damage based on their observations. This can potentially affect their recovery efforts since resources could have been used in a neighborhood that needs more help. The aim of this mini-challenge is to explore which parts of the city are hardest hit, how to respond based on the reports made, analyze the reliability of reports and uncertainties in change over time.

Dataset Analysis & Transformation Process

Dataset Import Structure & Process

Interactive Visualization

Interesting & Anomalous Observations

References

Comments