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Learn Geospatial Python with GeoPandas: A Complete Beginner’s Guide

Working with geospatial data used to require specialized desktop software. Today you can do almost everything directly in Python with open-source libraries. At the center of that ecosystem is GeoPandas, the foundational tool for handling vector data in Python. If you’re just getting started with geospatial Python, or you want a practical walkthrough you can […]

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Beyond Latitude & Longitude: A Guide to H3, S2, and Discrete Global Grid Systems

Every map traditionally starts with latitude and longitude. But if you are building modern data systems, raw coordinates are often too messy, too slow, and too heavy to scale effectively. There is a better framework that turns the planet into a manageable grid of unique identifiers: Discrete Global Grid Systems (DGGS). These frameworks—specifically H3, S2, […]

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Imposter Syndrome in GIS: Why You Feel It (and How to Move Through It)

This wasn’t an episode I originally planned to record. But the more I saw conversations around imposter syndrome in GIS, the more I realized it needed to be said out loud. Because nearly everyone in this field — from students to senior data engineers — has felt that voice in the back of their mind […]

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Should You Get a GISP? A Practical, Honest Guide for GIS Professionals

The GISP certification has been part of the GIS landscape for years. It shows up in job descriptions. Professionals debate whether it matters. And at some point, many GIS analysts wonder whether getting a GISP is worth the time, cost, and effort. I decided to find out by doing something simple. I took the GISP […]

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Why We Have Billions in Flood Data (But You Still Can’t Find It)

At a minimum, you should be able to look at a map and know if you are standing in a flood zone. It sounds simple. We have spent billions of tax dollars scanning the entire surface of the United States down to centimeter accuracy. We have thousands of stream gauges monitoring water levels every 15 […]