What are the Uses of Geospatial Imagery Analytics?

Applied Tech Review | Friday, September 03, 2021

Geospatial imagery analytics is often used for analyzing climate conditions, urban planning, and disaster response management.

FREMONT, CA: Geospatial analytics collects, manipulates, and displays the data and imagery from geographic information systems (GIS), such as GPS and satellite pictures. Geographic coordinates and unique identifiers like street address and zip code are used in geospatial data analytics. They're utilized to make geographic models and data visualizations for more precise trend forecasting and modeling.

Geospatial analytics uses data from various sources, including GPS, location sensors, social media, mobile devices, and satellite imaging, to create data visualizations for better understanding events and identifying trends in complicated relationships between humans and the environment. This geo-referenced data can be used to almost any event that occurs on the planet. Maps, graphs, statistics, and cartograms are examples of visualizations that show historical and contemporary shifts. Predictions will become easier and more accurate as a result of this.

Geospatial analytics provides context to conventional data by adding timing and place, allowing for a complete picture of events. Easy-to-recognize visual patterns and images provide information that could be overlooked in a vast spreadsheet.

Benefits of Using Geospatial Data in Analytics

Geospatial big data analytics organizes data visually by time and space rather than a standard spreadsheet's infinite rows and columns. This method makes it easier for the human brain to assimilate information. Geospatial data analytics allows the eye to discern patterns such as distance, closeness, contiguity, and affiliation in vast datasets. Visualizing spatial data also makes it easier to see how things evolve and where the changes are most noticeable.

Geospatial Analytics Use Cases

Telecommunications: Visualize call detail records and network logs quickly so network operations centers may address issues before customers become aware of them. As network signal strength varies by place over time, geospatial analytics aids telecommunications businesses in identifying and resolving problems.

Military: Military logistics offer an accurate picture of situational awareness. The military can use geospatial predictive analytics to improve resource placement while assessing infrastructure, anticipating maintenance needs, and meeting deadlines.

Weather: Blizzards, wildfires, and hurricanes are visualized quickly enough for efficient evacuation warnings, allowing quick reaction to extreme weather. Geospatial data analytics also aids aircraft routing and provides insurance firms a better approach to analyzing property risk.

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