This week we are going to learn how Foursquare is trying to identify and map all of the places in the world!
Foursquare uses a mixture of crowd source and data conflation to maintain a database of 205 million places ... and it's not easy!
Each phone might see the world slightly differently in terms of location accuracies and crowdsourcing data means that people "check-in" at different locations.
Kyle Fowler - Senior Director, Engineering at Foursquare
Is going to give a behind-the-scenes look at how the "Orginal location-based social network" is trying to map all of the places in the world.
This episode is the first in a series of episodes I am going to publish in partnership with Foursquare and the idea is to use it as a reference for later episodes about Privacy and location data, Knowledge Graphs, AI, Location Based Marketing and Big geospatial Data in the Browser.
Hub Ocean
Felt - Upload Anything
The Rapid Editor
PostgreSQL - Listen and Notify Clients In Real Time
Applying For A Job, Getting Picked and Negotiating The Contract
Using Lasers To Talk To Satellites
From Pixels to Patterns: AI in Spatial Analysis
pygeoapi - A Python Geospatial Server
Big Data In The Browser
Rasters In A Database?
Spatial Knowledge Graphs
ChatGPT and Large Language Models
Computer Vision and GeoAI
Designing for Location Privacy
Hyperspectral vs Multispectral
Planet Scale Tiled Maps Without A Server
Storytelling With Point Clouds
Geospatial Archaeology
Navigating the World of Geospatial Standards
Create your
podcast in
minutes
It is Free
Regenerative Agriculture Podcast
Bedrock: Earth’s Earliest History
The Great Simplification with Nate Hagens
Kosmographia
Climate One