IS428 AY2019-20T1 Assign Lee Sunho
Mini-Challenge 1: Crowdsourcing for Situational Awareness
St. Himark is a vibrant community located in the Oceanus Sea. Home to the world-renowned St. Himark Museum, beautiful beaches, and the Wilson Forest Nature Preserve, St. Himark is one of the region’s best cities for raising a family and provides employment across a number of industries including the Always Safe Nuclear Power Plant which provide 72% of the electricity.
Sadly, St. Himark is not immune to natural disasters. Faced with multiple earthquakes throughout the course of this year, this bustling city needs to be ready to face the challenge of providing immediate assistance. As it is a relatively big town with 246,839 people, various parts of the city will be affected differently due to the earthquakes. Currently, mayor Jordan, city officials, and the emergency services are overwhelmed in facing this challenge and are urgently looking for assistance in understanding the true situation. Furthermore, they would like to devise the most optimal strategy which best deploys their limited resources.
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Blessed with a plethora of data regarding the earthquakes, the city is in dire need for data scientists to analyze this data and to draw important conclusions which would better help the city's endeavor to ensure the utmost safety of its citizens. Hence, I will be cleaning and analyzing this data in order to ameliorate the current emergency response procedure.
First, the city would like to know what are some potential associations among the variables that may correlate with earthquakes. After looking through the data, there are a few potential ones and they are: shake intensity. For shake intensity, the higher the number on the scale, the more intense the earthquake is. As seen from the heat and line maps of shake intensity, different regions of St. Himark face varying levels of intensity and the areas which are more red in color are in dire need to immediate assistance.
An important thing to note is that due to the fact that this data was obtained through its citizens via a mobile application, this crowdsourced data may vary markedly.
This is due to the fact that these reports are based on subjective measurements. One citizen who is more timid may feel like the shake intensity of a certain earthquake is more intense that it actually is due to a heightened sense of fear and adrenaline. While another citizen who is more brave and bold may underestimate the earthquake's true intensity.
However, thankfully, because of the sheer amount of data we have obtained, overall, the overestimations and underestimations will cancel each other out and the data provided should be relatively accurate. But it is still important for the emergency responders to be aware of this factor.
