Spatial Stack with Matt Forrest

• Is There Any Hope for the GIS Career Path?

  Is there a future in GIS? How can you break past the salary ceilings and position yourself for long-term success? In this episode, we dive into the realities of GIS careers, salaries, and strategies to help you grow.🔹 Why GIS salaries often lag behind similar data roles 🔹 The Technician Trap—how GIS is often seen as a support role rather than a strategic function 🔹 Skills that matter—Python, SQL, and cloud-native GIS for career flexibility 🔹 How to position yourself as a problem-solver, not just an executor 🔹 Tangible steps to accelerate your career without switching jobsGIS is an exciting field, but to truly thrive, you need to think beyond maps and spatial analysis—you need to be strategic. Tune in to learn how to showcase your skills, position yourself for growth, and maximize your career growth.

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• Why We’re Still Bad at Predicting Wildfires

  📩 Get every update from my newsletter ➡️ https://forrest.nyc ⬅️Wildfires are getting more intense, yet many people in Los Angeles had no idea the fire was near them—until they saw the smoke. Despite all our advancements in geospatial technology, disaster response still struggles with timely alerts, real-time data access, and predictive modeling.In this episode, I sit down with Mina Nada, a remote sensing specialist, to explore what went wrong during the recent LA wildfires and how geospatial tools like satellite imagery, fire modeling, and risk mapping can improve future disaster response. We break down why current wildfire alerts are failing, what GIS professionals can do to fix it, and how earth observation data plays a critical role in mitigating fire disasters.If you’re in GIS, remote sensing, emergency management, or just curious about the future of fire detection, this conversation is packed with insights you don’t want to miss.🔥 Topics Covered:✔️ Why wildfire alerts failed during the LA fires✔️ How satellite imagery tracks wildfires in real-time✔️ The role of GIS in predicting and responding to fires✔️ Challenges in making wildfire data more accessible✔️ What we need to do to prevent future wildfire disasters

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• Why GIS Needs the Cloud (And What’s Next)

  For years, geospatial professionals have been forced to download massive datasets—only to discard most of the data. It’s an outdated, inefficient process that slows down analysis and limits scalability. But a major shift is happening. Cloud-native geospatial is transforming how we store, access, and process spatial data, making it faster, more efficient, and accessible to everyone.In this episode, I sit down with Jed Sundewald, Executive Director of Radiant Earth, to explore how the Cloud-Native Geospatial Forum is shaping the future of GIS, the evolution of cloud-optimized formats like COGs and STAC, and what this means for GIS professionals, developers, and decision-makers.Whether you're new to cloud-native geospatial or looking to optimize your data workflows, this conversation will give you a front-row seat to the future of geospatial technology.📩 Get every update from my newsletter ➡️ https://forrest.nyc ⬅️🏔️ Attend the Cloud Native Geospatial Forum in April ➡️ https://2025-ut.cloudnativegeo.org/ ⬅️🔑 Topics Covered:✔️ Why traditional geospatial workflows are inefficient✔️ The rise of cloud-native geospatial formats (COGs, STAC, and more)✔️ How cloud-native GIS benefits both small and large-scale users✔️ The role of the Cloud-Native Geospatial Forum and upcoming events✔️ How to integrate cloud-native principles into your geospatial stack

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• The Hidden Flaw in Location Data (And How to Solve It)

  📩 Get every update from my newsletter ➡️https://forrest.nyc ⬅️🔑 Sign up for Placekey here:https://placekey.ioMerging and cleaning location data is one of the biggest headaches in GIS, real estate, and business intelligence. Duplicate addresses, inconsistent formats, and messy datasets can derail even the most sophisticated analysis. But what if there was a universal identifier that made all of those problems disappear?In this episode, I sit down with Hayden Mortimer, President of PlaceKey, to uncover why traditional addresses aren’t enough and how PlaceKey is revolutionizing the way we connect place-based data. We dive into the challenges of entity resolution, the pitfalls of fuzzy matching, and how a simple, open-source identifier is making spatial joins seamless.Whether you work in GIS, data science, or any field that relies on location data, this conversation will change how you think about addressing and spatial relationships. Don’t miss it!✔️ Why addresses alone aren’t reliable for data integration✔️ The hidden challenges of matching places across datasets✔️ How PlaceKey works and why it’s different from other solutions✔️ Real-world use cases for small businesses and enterprise-level applications✔️ The future of location data and entity resolution🎧 Listen now and learn how to fix your messy location data for good!

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• Let's shake up geospatial

  Matt returns to discuss the future of Spatial Stack—what it is, where it’s headed, and how it will evolve into a go-to platform for exploring the intersection of geospatial technology and real-world impact. From its origins as a live-stream experiment to a full-fledged video-first podcast, this episode lays out the vision for breaking the geospatial echo chamber, identifying new opportunities, and working together to expand the field. Expect a mix of solo deep dives, expert conversations, and practical discussions on geospatial trends, Earth observation, and the growing role of spatial data across industries. Whether you're a seasoned GIS professional or just curious about geospatial’s future, this episode sets the stage for what’s to come.

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