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DS7730 - Fundamentals of Data Science

AVIDA

 

First assignment: Mistford is a mid-size city located to the southwest of a large nature preserve. The city has a small industrial area with four light-manufacturing endeavors. Mitch Vogel is a post-doc student studying ornithology at Mistford College and has been discovering signs that the number of nesting pairs of the Rose-Crested Blue Pipit, a popular local bird due to its attractive plumage and pleasant songs, is decreasing! The decrease is sufficiently significant that the Pangera Ornithology Conservation Society is sponsoring Mitch to undertake additional studies to identify the possible reasons. Mitch is gaining access to several datasets that may help him in his work, and he has asked you (and your colleagues) as experts in visual analytics to help him analyze these datasets.

The four factories in the industrial area are subjected to higher-than-usual environmental assessment, due to their proximity to both the city and the preserve. Gaseous effluent data from several sampling stations has been collected over several months, along with meteorological data (wind speed and direction), that could help Mitch understand what impact these factories may be having on the Rose-Crested Blue Pipit. These factories are supposed to be quite compliant with recent years' environmental regulations, but Mitch has his doubts that the actual data has been closely reviewed.

Import the data into python, separate out the different chemicals, and plot the sensor values for each chemical in a single plot using a suitable color scheme.

Reference: IEEE VAST mini challenge 2017


Second assignment:

You have access to movement tracking information for all of the paying park visitors over the three days of the Scott Jones celebration. This data contains many patterns that are useful for planning park operations. On this particular weekend a crime occurred and the data likely contains information pertinent to that crime.

Apply a clustering algorithm to the movement data to deliniate areas of congregation within the park.

Reference: IEEE VAST mini challenge 2015


Final project:

One of St. Himark's largest employers is the Always Safe nuclear power plant. The pride of the city, it produces power for St. Himark's needs and exports the excess to the mainland providing a steady revenue stream. However, the plant was not compliant with international standards when it was constructed and is now aging. As part of its outreach to the broader community, Always Safe agreed to provide funding for a set of carefully calibrated professional radiation monitors at fixed locations throughout the city. Additionally, a group of citizen scientists led by the members of the Himark Science Society started an education initiative to build and deploy lower cost homemade sensors, which people can attach to their cars. The sensors upload data to the web by connecting through the user's cell phone. The goal of the project was to engage the community and demonstrate that the nuclear plant's operations were not significantly changing the region's natural background levels of radiation.

When an earthquake strikes St. Himark, the nuclear power plant suffers damage resulting in a leak of radioactive contamination. Further, a coolant leak sprayed employees' cars and contaminated them at varying levels. Now, the city's government and emergency management officials are trying to understand if there is a risk to the public while also responding to other emerging crises related to the earthquake as well as satisfying the public's concern over radiation.

In order to assess the situation, combine the sensor data with the wind data. Using a Gaussian Plume Model, compute the polution level based on one sensor and wind condition. Create a heatmap representing the area by accumulating the plume model results for all sensor data available for this event.

Reference: IEEE VAST mini challenge 2019

Last modified Thursday August 22, 2024
thomas.wischgoll@wright.edu