In some respects, we are all drowning in data and one of the big challenges going forward will be filtering the data we have so we can make sense of the world by removing the noise. The Travel Time Platform approaches location-based search form the perspective of the time it takes to reach a destination. So in the example of searching for the nearest movie theater, the user will not be presented with a result that shows the options based on a certain travel time limitation as opposed to movie theaters in a straight line distance. In this interview, Charlie Davies walks us thought the challenges of building a search engine based on travel time and what this might look like in the future.
A platform that takes video and creates 3D mapping layers based on that data. The video can be from a variety of different sensors, does not need to be vertically looking down on the geography and each 3D output is georeferenced!
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Using the geomagnetic field of buildings to navigate indoors
The location context platform
Geospatial gives context to risk
Inspirational geospatial visualizations
Geospatial support for humanitarian emergencies
Crowd source clean the planet - a geospatial approach
Highways in the sky, risk islands and drone flight paths
Immersive maps give context to data - this is Street View for rivers
The Google Drive of geospatial - curation over creation
A geospatial story and some housekeeping
Mapping the way we relate to the urban environment
Creating Global Activity Specific Maps
Positioning as a service and the role of smartphones in the future of geolocation
A diary of your location - recording your travel journeys using GPS tracks
Scaling map data generation using computer vision
A mapping platform for your outdoor adventures
Tracking global air traffic in real time
Translating between machine and human when talking about location
Mapping Personalised Workplace Risk
Proof of location, bringing the blockchain to the real world
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