Our digital footprints, the posts, and comments we leave online might just be useful the key to understanding how people relate and interact with the urban environment. Geotagged, comments online can be processed using natural language artificial intelligence to sort our digital footprints into a range of recognizable human emotions that are associated with a certain location. This allows us to understand how people use urban space, the ways in which we might want to brand location and how a location might gain a competitive advantage over competing locations. MapScaping.com
Fire Mapping, Maritime Search And Wide Angle Imaging
Personal Branding in Geospatial
Entity Resolution with Placekey
Strategic Buy-In For FOSS4G
From GNSS to VPS
Overture Maps And The Daylight Distribution
100 billion Points Every Day
Synthetic Data For Real Problems
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
Create your
podcast in
minutes
It is Free
Regenerative Agriculture Podcast
Kosmographia
Climate One
Seven: Disturbing Chronicle Stories of Scary, Paranormal & Horror Tales
Quirks and Quarks