GeoParquet For Beginners

GeoParquet For Beginners

Author: MapScaping May 23, 2024 Duration: 42:00
Cloud-native geospatial, range requests, chucks, COGs and COPCs ... [ insert confusing acronym here ]  Sometimes It feels like we need to learn a whole new vocabulary and if you have been doing #geo for a while you might be wondering how much of this is actually going to impact me. What bits of this are the ones that I need to know about?  I don’t think that anyone is going to be talking about cloud native in 10 years, in the same way, no one talks about digital cartography or computer analysis because where else would you do your cartography? And how else would you do your analysis?  Maybe the names won’t be as important but the concepts will and while this episode is focused on Geoparquet it does so within the context of cloud-native geospatial - and this concept is not going away!    You can connect with Kyle Barron here https://x.com/kylebarron2 or here https://kylebarron.dev/     If you want to learn more about cloud-native geospatial I can highly recommend these episodes   https://mapscaping.com/podcast/cloud-optimized-point-clouds/ https://mapscaping.com/podcast/introduction-to-cloud-native-geospatial/ https://mapscaping.com/podcast/planet-scale-tiled-maps-without-a-server/ https://mapscaping.com/podcast/what-is-modern-gis/ https://mapscaping.com/podcast/the-planetary-computer/   I am working on a new project called https://quickmaptools.com/ like the name suggests it is a bunch of browser-based map tools. So far we have created several different conversion tools and will continue to add more to the list. Check it and let me know what you think!  

The MapScaping Podcast delves into the intricate world where geography meets data. This isn't about static paper maps, but the dynamic, digital systems that help us understand our planet. Each conversation focuses on the practical and the visionary within GIS, geospatial technology, remote sensing, and earth observation. You'll hear directly from the cartographers, data scientists, software developers, and analysts who are building the tools and interpreting the information that defines modern digital geography. The discussions explore how satellite imagery is used, how location intelligence solves complex problems, and where the technology is headed next. For professionals, students, or anyone fascinated by how we chart and comprehend our world, this podcast offers a grounded look at a field that is constantly redrawing its own boundaries. Tune in to The MapScaping Podcast for insights that are as much about the people and ideas shaping this space as they are about the technology itself. It's a consistent source for those who think spatially, providing depth and context that goes beyond the software interface. Listen to find out how the hidden structures of geospatial data influence everything from urban planning and environmental conservation to business logistics and everyday apps.
Author: Language: English Episodes: 100

The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
Podcast Episodes
Common Space [not-audio_url] [/not-audio_url]

Duration: 38:31
This episode examines the Common Space initiative, a non-profit project dedicated to building and launching high-resolution optical satellites designed specifically for humanitarian purposes, such as aiding populations a…
AI in QGIS [not-audio_url] [/not-audio_url]

Duration: 49:20
I've been playing around with a lot of large language models lately, and it is absolutely fascinating to watch them work. But what happens when you bring that directly into QGIS? Right now, AI in the geospatial industry…
Geospatial Makers Start Building! [not-audio_url] [/not-audio_url]

Duration: 46:52
Geospatial Product Swiss Army Knife 1. The "Build It and They Won't Come" Trap We have all seen it: a talented geospatial professional spends months—perhaps years—perfecting a technically sophisticated web map or a niche…
Vibe Coding and the Fragmentation of Open Source [not-audio_url] [/not-audio_url]

Duration: 36:36
Why Machine-Writing Code is the Best (and Most Dangerous) Thing for Geospatial: The current discourse surrounding AI coding is nothing if not polarized. On one side, the technofuturists urge us to throw away our keyboard…
A5 Pentagons Are the New Bestagons [not-audio_url] [/not-audio_url]

Duration: 37:21
How can you accurately aggregate and compare point-based data from different parts of the world? When analyzing crime rates, population, or environmental factors, how do you divide the entire globe into equal, comparable…
The Sustainable Path for Open Source Businesses [not-audio_url] [/not-audio_url]

Duration: 36:18
The Open-Source Conundrum Many successful open-source projects begin with passion, but the path from a community-driven tool to a sustainable business is often a trap. The most common route—relying on high-value consulti…
Free Software and Expensive Threats [not-audio_url] [/not-audio_url]

Duration: 34:29
Open-source software is often described as "free," a cornerstone of the modern digital world available for anyone to download, use, and modify. But this perception of "free" masks a growing and invisible cost—not one pai…
Mapping Your Own World: Open Drones and Localized AI [not-audio_url] [/not-audio_url]

Duration: 32:43
What if communities could map their own worlds using low-cost drones and open AI models instead of waiting for expensive satellite imagery? In this episode with Leen from HOT (Humanitarian OpenStreetMap Team), we explore…
From Data Dump to Data Product [not-audio_url] [/not-audio_url]

Duration: 45:39
This conversation with Jed Sundwall, Executive Director of Radiant Earth, starts with a simple but crucial distinction: the difference between data and data products. And that distinction matters more than you might thin…
Reflections from FOSS4G 2025 [not-audio_url] [/not-audio_url]

Duration: 13:56
Reflections from the FOSS4G 2025 conference Processing, Analysis, and Infrastructure (FOSS4G is Critical Infrastructure) The high volume of talks on extracting meaning from geospatial data—including Python workflows, dat…