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Mark Varley the CEO and founder of Addresscloud reminds us that geo-coding is not a solved problem and explains why and how inaccuracies during the geocoding process can have consequences in terms of risk assessment models used by insurance companies. Mark walks us through how and why his company built its own geo-coder and why locating and describing addresses with rooftop level accuracy is the first step in building risk profiles. We also discuss the changing role of geo and GIS in the insurance industry.
This episode is sponsored by HiveMapper
A platform that takes video and creates 3D mapping layers based on that data. The video can be from avariety of different sensors, does not need to be vertically looking down on the geography and each 3D output is georeferenced!
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.
