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Transcript

In this video, I delve into a unique global dataset that merges critical infrastructure data relevant for those of us interested in geospatial analysis and climate science. I showcase how to access and utilize this data, highlighting its storytelling potential and learning opportunities.

Not everyone is interested in diving into a course on Python and Climate Science. As I build the full set of modules that include resources and shorter video snippets along the way — bread crumbs to help build different skills — I also think many of you can learn a few insights at a higher level perhaps relevant to your work.

Open-Source Solutions for Geospatial Analysis is a reader-supported publication. To support this type of work, consider becoming a paid subscriber.

Generated by Loom AI

00:00 Introduction to Data Set

02:49 Detailed Look at the Article

04:45 Running Code and Dataset

Essential Python Libraries: Geospatial Storytelling in Climate Science

explore here → python_libraries

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