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Overthinking GIS (2024)
A roundabout way to downsampling data Maps in the Modern Era GIS is probably one of the best things to happen to cartography in the last couple hundred years.
Still though, all of this information is quantifiable because computers don’t speak human languages (LLMs are still just math) and what I wanted is something more human-centric, more qualitative: usability. Glossing over a lot of details, there is a mathematical operator called the Laplacian that calculates the second order differential for a scalar field. I need to confirm this but I could probably achieve a similar result straight from the Laplacian by downsampling / blurring with a kernel size set to stepSize.
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