A podcast for geospatial people. Weekly episodes that focus on the tech, trends, tools, and stories from the geospatial world. Interviews with the people that a... Ver más
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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 ;)
… this sounds great but as I found out during this conversation it's not as easy as it might seem!
There are a lot of trade-offs that need to be evaluated when moving data and analytics to the client.
Nick Rabinowitz Senior Staff Software Engineer at Foursquare has a ton of experience with this so he volunteered his time to help us understand more about it.
If you are not familiar with the Arrow data format it might be worth checking out
Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead
Related podcast episodes that you might find interesting include
H3 grid system
The H3 geospatial indexing system is a discrete global grid system consisting of a multi-precision hexagonal tiling of the sphere with hierarchical indexes. H3 is a really interesting approach to tiling data that was developed by UBER and has been open-sourced.
If you have not heard of the H3 grid system before listen to that episode first before listening to this one it will add a lot of useful context!
Spatial Knowledge Graphs
Foursquare is moving away from spatial joins and focusing on building a knowledge graph. If you are not familiar with graphs this might be a good place to start, also its interesting to hear the reasons for the move from spatial joins to another data structure.
Distribution Geospatial Data
This is interesting if you want to understand more about distributed databases and some of the strategies for doing this. It sounds complicated but this episode is a really good introduction!
Cloud Native Geospatial
This episode give a solid overview of what cloud-native means and some of the current geospatial cloud native formats out there today
I am constantly thinking about how I can make this podcast better for you so if you have any ideas or suggestions please let me know!
Also, I am thinking of recording a behind-the-scenes episode, is that something you might be interested in? if so what questions do you have?
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 Paul
Dynamic Vector Tiles
Blog posts by Paul about Rasters in the Database
Check Out Our Geospatial Job Board!
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!
The H3 Indexing System
Points of Interest data
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
and listen to his previous episode here:
This is perhaps the quote for the episode that I have spent the most time thinking about
"We always thought AI would be logical and lack creativity - but it is almost the exact opposite"
This reframes the idea of being wrong to being creative which I think you could argue really depends on the context!
If you have not already played around with ChatGPT it's well worth spending the time to experiment with it ... while its still free ;)
If you have not already listened to this episode about computer vision and GeoAI you might find it interesting. Listen out for the discussion around plausible / realistic data and real measurements - I think this gives more context to the use cases for generative AI
You might also enjoy this episode about fake satellite imagery
BTW I have started a job board for geospatial people
feel free to check it out!
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 important differences between computer vision and what some people refer to as GeoAI.
This week Jordi inglada is going to help you understand what those differences are and why it's not always possible to use Computer vision techniques in the field of Remote Sensing.
Listen out for these key points during the conversation!
Why plausible or realistic data is not always a substitute for actual measurements, except when it is ;)
In computer vision we can learn from the data, in earth observation we know the physics
To do interesting work in data science you need to - Computer science, applied math, and domain expertise. You don’t need to be an expert in all three but you need to be interested in all three
Vectors in the machine learning world don’t necessarily have anything to do with points lines and polygons ;)
Sponsored by Sinergise, as part of Copernicus Data Space Ecosystem knowledge sharing. dataspace.copernicus.eu/ http://dataspace.copernicus.eu/
Related Podcast Episodes
Fake Satellite Imagery
Google Earth Engine
Microsofts Planetary Computer
BTW MapScaping has started a Job Board!
it's in the early stages but it's live
Jobs - Mapscaping.com
Acerca de The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
A podcast for geospatial people. Weekly episodes that focus on the tech, trends, tools, and stories from the geospatial world. Interviews with the people that are shaping the future of GIS, geospatial as well as practitioners working in the geo industry.
This is a podcast for the GIS and geospatial community subscribe or visit https://mapscaping.com to learn more