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Shubhanga Satyal - Where Could Philadelphia Build Affordable Housing? - #64
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ssatyal-ux wants to merge 39 commits into
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ssatyal-ux wants to merge 39 commits into
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Clarified the use of AI tools in the project and how they were utilized for coding assistance.
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Topic: This story map compares Philadelphia's Market Value Analysis with thirty years of subsidized housing production. It shows that most affordable units end up in the weakest housing markets and very few in the strongest. It then zooms into Packer Park, a strong-market neighborhood, and highlights vacant land that could be used for affordable housing.
Target audience: Housing advocates, community groups, and planners involved in site selection for affordable housing.
Live site: Where Could Philadelphia Build Affordable Housing?
Note: I updated the JS lint workflow from Node 16 to Node 22, because ESLint 10 doesn't run on Node 16 - diagnosed with the help of Claude.
While I have included this in the code as well as in the story map/narrative:
Along with adapting code from the professor’s examples and class lessons and consulting internet sources, I used AI tools, including ChatGPT and Claude, to understand, decipher, debug, and format code in many instances. The overall thought process, structure, and story idea are my own.
data analyzed using Arc GIS - by choice and for practice