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Location gives context to data but it can also be used to give context to experiences. Radar is a platform for geofencing and location tracking. In this interview with Co founder Nick Patrick we discuss the opportunities around using location to deliver contextualised experiences to users, what these experiences look like today and what we can expect to see in the future.
To put it simply, point clouds are a collection of XYZ points that represent some real world object of nearly any scale.They can be generated in a few ways. As geospatial scientists, we mostly work with LAS/LAZ data collected by aerial LiDAR (light detection and ranging) scanners at varying scales, from landscapes, down to project sites. We may also derive point clouds from highly detailed orthoimagery of an area, such as from the products of a drone flight.
As a data scientist, you don’t just go in and solve problems. You make recommendations to multi-faceted issues so that you get a fantastic model in the end. You’ll also be advocating a better use and understanding of the data while you do that.