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Our digital footprints, the posts, and comments we leave online might just be 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. City78
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.