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Location intelligence is crucial to managing risk. WatchKeeper is using real time data feeds from a variety of different sources to monitor and mitigate risk and location is the thing that gives context to the data. In this interview, I talk with the founder of a company who has built a platform that ingests geospatial risk data feeds in real-time, applies rules-based decision-making to automate alerts on adverse events in close proximity to assets or employees and allows users to rewind and replay past events.
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.
