Session B Homework 1
For the final project in Data Mining the City, I want to create visualizations for data and results I produce from my thesis work. My thesis is concerned with urban planning in remote and extreme conditions. The case study for this thesis is McMurdo Station in Antarctica. This is the largest station on Antarctica, and is considered somewhat of a cross between a college campus and a mining colony. It is referred to as a ‘town,’ and is situated in the most extreme conditions for a settlement of this size.
The conference I have selected for this assignment is the ICSCSU 2018 : 20th International Conference on Smart Cities and Sustainable Urbanism:
I chose this conference because sustainability of settlements in extreme environments is the ultimate goal. My thesis work would fit under the category of infrastructure efficiency. It seems to submit a paper, you have to submit by September of each year.
The paper will have to meet the WASET Full Paper Submission Checklist, including but not limited to the following: no plagiarism, five to 10 recently published references, a title, an abstract, key words, figures, tables, any equations, captions and orderly numbering for the paper, and author and affiliation information. There are also standards for each of these things, such as a title that gives context and explains what the actual paper is about specifically. The full paper requirements can be viewed in the pdf below:
Brief Outline of My Paper
There are three aspects of McMurdo Station I want to analyze.
- How are the buildings performing? For this, I want to do a life cycle assessment to measure embodied, operating, and demolition energy. Building efficiency can be compared by energy per sq meter, and construction costs can be estimated based on the building type and materials.
- Are the buildings efficiently located? Some literature reference excessive distances between buildings.
- Are the buildings providing an adequate level of human comfort? Is there enough day lighting and shared spaces?
And the fun part will be converting results into visualizations that communicate them in an interesting way. I imagine the final product to be similar to this project: Dynamic Land-Use: Rewriting land-use for emergent development and resource sharing in Ulaanbaatar, Mongolia. The goal is to combine the data through maps or other visuals, and represent them in a way the viewer can easily understand and correlate with the findings in an accessible way.
