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.
The Spatial Internet of Things
Spatially Enabling Customer Relations
Everything happens some where & some time - Spatiotemporal data and GIS
Polygons of Ownership
Jupyter notebooks for geospatial
Radio Frequency Data Collection
Hyper-accurate indoor location
Digital Twins
Geospatial Python
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Advice for job seekers from a geospatial recruitment expert
The overlap between Business Intelligence tools and GIS software
Dynamic vector tiles straight from the database
Earth Observation, platforms and data #geography #geospatial #remotesensing
Disrupting ESRI - Why it is hard to build a big geospatial business
QGIS - An opensource geospatial project
A Case Study in GIS
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