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Collecting and validating geospatial data for every commercial location in the USA and Canada is not an easy task. It requires aggregation of data from multiple sources and formats. This data then needs to be validated and decisions need to be made about which data sources represent the truth in the case of conflicting data. Safegraph does this weighing datasets based on certain criteria and using a voting system.
Data is being scraped and curated from multiple different sources but it some cases it is also necessary to create data. Think of the use case of a shopping center. If you think of the shopping center as being a collection of geometries where the entire shopping center is the parent geometry and the individuals business in the shopping center are child objects. In this situation, Safegraph has had to digitize entire shopping centers manually in order to properly represent the parent/ child geometry relationships.
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!
Are you unhappy in your current GIS job, or feel stagnant in your development? Are you thinking that maybe you are not exploring your full professional potential in the geospatial field? If you are looking for a way to manage these feelings, while taking on very little startup risk, a geospatial side hustle may be the thing for you. If you are completely satisfied with your day-to-day work, that’s great! You will still benefit from keeping aware of market demand, and where the future industry opportunities may lie.