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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
Geospatial standards, like any standard, are what we agree on as a community. It’s a way to describe how we model geospatial data, exchange it, subset it, process it, visualize it, or reference it. We need standards because we share and integrate data, and we solve complex problems.
Google Earth Engine is acloud computing platform for scientificanalysis andvisualization of geospatial data sets. It isfree to use for research, education, and nonprofit. Google Earth Engine is essentially streaming data. You don’t need to go online to download the data — you just need a browser, and you can access the entire Google Earth Engine data catalog and a bunch of tools to do the analysis and visualization.