Sinfully Simple GPT-4 Prompting For Stunning Streamlit Interactive Maps

Author(s): John Loewen, PhD

Originally published on Towards AI.

Python Streamlit mapping code generation from NASA GIS data
Dall-E image: Impressionist style map of North America

Python Streamlit is a revelation for creating maps from GIS point data.

And as I recently discovered, if we prompt GPT-4 to help us create our Python Streamlit code, we can streamline the process.

To test this theory, today I am revisiting a story that I wrote back in April/2023 that leveraged GPT-4 for map creation.

I based the article on a static map that I viewed on LinkedIn, based on NASA data, showing forest fires for a region for a period of time.

A more useful representation for a static map is to provide the user/viewer with an interactive map — to let them choose the period of time to display.

Let’s give it a go!

The forest fire situation in Canada over the past 10 years or so has been pretty terrible, particularly in British Columbia, where I am from.

In the summer, there are many pollution days like this:

Forest fire smoke on the left, normal day on the right (Photo: David Loewen)

To show the monthly effects of forest fires, I want to create a data visual that shows forest fires over time (by month) for British Columbia, my home.

Now I know that NASA provides a comprehensive data… Read the full blog for free on Medium.

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Published via Towards AI