Geospatial Analytics Specialists

The history of geospatial analytics can be traced to the development of geographic information systems (GISs), which are computer systems that can assemble, store, manipulate, and display geographically referenced information. The Canada Geographic Information System was launched in 1963. It was the first computerized GIS in the world and used to catalog natural resources. Today, geospatial analytics involves the collection of GIS data, Global Positioning System (and other radionavigation system) information, and countless other types of data to gain a better understanding of issues and challenges in defense, climatology, urban planning, telecommunications, supply chain management, disaster response management, and many other fields. The career of geospatial analytics specialist emerged as a result of advances in technology, the growing variety and volume of geospatial data that could be collected, and other factors. The increasing use of advanced data analytics, web and cloud computing, the Internet of Things, and artificial intelligence (including machine learning, computer vision, and natural language processing), as well as the deployment of 5G network service, have created new frontiers for geospatial data collection, analysis, and use. This has fueled even stronger demand for specialists.