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Overture Maps And The Daylight Distribution
In this podcast episode, Jennings Anderson, a research scientist at Meta, discusses the Overture Maps Foundation, a downstream product of OpenStreetMap. He explains his background in open map data and his interest in studying collaboration within the...
100 billion Points Every Day
100 billion Points Every Day 100 billion is a very large number, let's say that I gave you a spreadsheet with 100 billion rows in it, each row consisted of five columns Latitude, Longitude, Device ID, A Timestamp, and a column telling the name of the...
Synthetic Data For Real Problems
Computer vision is everywhere! But teaching an algorithm to identify objects requires a lot of data and this is definitely the case when we think about GeoAI But it is not enough to have a lot of data we also need data that is labeled If we are loo...
Hub Ocean
This is an interview with a senior data scientist from Hub Ocean, a platform that aims to unlock and unite ocean data. Hub Ocean - as the name suggests is a hub for ocean data Now we have talked about these kinds of data hubs before on the podcast -...
Felt – Upload Anything
felt.com is a browser-based mapping tool and but its also a reminder that just because we have always done web mapping one way it doesn’t mean it always has to be done that way. For example, Felt lets you upload anything! That's a bold promise, you ...
The Rapid Editor
Rapid is a free open-source web-based editor for an OpenStreetMap. In the past the focus was on conflating AI-generated datasets with OpenStreetMap data but the future for this editor is conflating authoritative datasets with OpenStreetMap. Humans a...
PostgreSQL – Listen and Notify Clients In Real Time
The promise of digital mapping is to provide a shared and real-time view of the state of the underlying system. pg_eventserv is a free and open-source component that helps fulfill the promise of real-time event modeling and shared views in ...
Applying For A Job, Getting Picked and Negotiating The Contract
You guessed it this episode is all about recruitment! Who is this episode for? Well if you have a career in geospatial … it's for you! Getting the job you want, changing your career path, or deciding whether to work at a start-up or a more establi...
Using Lasers To Talk To Satellites
How do we get data from a satellite down to Earth? How do we task a satellite? Today the answer is likely to be via radios and a system of downlink sites or ground stations. As the satellites pass overhead or within “line of sight” data can be sent ...
From Pixels to Patterns: AI in Spatial Analysis
There is a general understanding that it is becoming increasingly difficult to extract meaning from all the data we are collecting without using AI. But what is AI, and how did we end up in a situation where it is identifying wolves from dogs base...
pygeoapi – A Python Geospatial Server
PYGEOAPI is a Python server implementation of the OGC API suite of standards ... which might be really useful if you are thinking about upgrading from the first-generation OGC standards to the second-generation OGC standards ... or if need to implem...
Big Data In The Browser
So why would anyone want to put alot of data into a browser? Well, for a lot of the same reasons that edge computing and distributed computing have become so popular. You get the data a lot closer to the user and you don’t have to pay for the compute...
Rasters In A Database?
Sounds like a great idea right? In this episode, Paul Ramsey explains why you shouldn't ... unless you want to ... and how you can ... if you have to. You can find Paul's blog here: http://blog.cleverelephant.ca/about Previous episodes with Pau...
ChatGPT and Large Language Models
I am sure you have heard of ChatGPT by now so the hope of this episode is to give you some more context about what is it built on and how it works. To do that I invited Daniel Whitneck back on the podcast You can connect with Daniel here https://d...
Spatial Knowledge Graphs
A knowledge graph is a network of relationships between real work entities and in this episode, you will learn how and why knowledge graphs might be a better choice than spatial joins! Further listening! The H3 Indexing System https://mapscaping.c...
Computer Vision and GeoAI
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images. You might think that this is exactly what we are doing in earth observation but there are a few imp...
Designing for Location Privacy
Discover the delicate balance between harnessing the power of location data for valuable insights and safeguarding individual privacy. Explore key insights from a recent MapScaping podcast episode, where experts discuss the challenges, strategies, and regulations surrounding location data privacy
Hyperspectral vs Multispectral
When comparing multispectral and hyperspectral data it is not simply a case of “more data more better”! With hyperspectral you have “The curse of Dimensionality” but you also get more flexibility to pick exactly what bands you want to use! With mult...
All Of The Places In The World
This week we are going to learn how Foursquare is trying to identify and map locate all of the places in the world! Foursquare uses a mixture of crowd souring and data conflation to maintain a database of 205 million places ... and it's not easy! Ea...
Planet Scale Tiled Maps Without A Server
Protomaps is a serverless system for planet-scale maps, it's an umbrella project consisting of a few different components one of which is PMtiles. PMtiles is “Cloud Optimise Geotiff” for web mapping, what this means is that you can build a base map a...
From GNSS to VPS
** Warning** Consuming this content may lead to educated opinions and or a better understanding of the future of location technology! ** Proceed with caution!! ** If are curious about any of the following topics this episode is for you! Evoluti...