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Pixel Topographies

A successful marketing plan relies heavily on the pulling-power of advertising copy. Writing result-oriented ad copy is difficult, as it must convince consumers.
M

y family sold the house I grew up in in 2020, which was very sudden, but for the best. I had never really been that connected to my home state, but when I realized I may never go back there, I realized that I had come to really appreciate it as a place to grow up.

We ended up renting a house not too far from where I grew up to get through the pandemic, but it made me think about what it was that caused me to become so nostalgic. What kept popping into my head was that it is a beautiful place. It has lovely forests, beautiful colors, coastal towns, and even a few mountains.

Then, I stumbled across this site, which shows the elevation in CT using colors.

I’ve also been inspired by the idea of a computer screens being 3-Dimensional. Some of Refik Anadol’s work reflects this. They have beautiful edges and ridges, but entirely 2D and on screens. I wanted to ask the question, can we make a screen in real life?

For this project, I have decided to combine these concepts to create “Pixel Topographies”, a 3D pixel computing piece that visualizes CT elevations

Pixel Topographies uses machine learning to generate elevation maps based on Connecticut topography, then creates a tangible 3D representation of that data.

Additional information on the code, production process, Machine Learning techniques, and etc can be found here.

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