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Geospatial data is time-based information about a specific location on the surface of the Earth. It can uncover patterns and trends by revealing links between variables.

Geospatial data is information on things, events, or other features that have a physical location on or near the earth’s surface. Large sets of spatial data obtained from many different sources in many formats, such as census data, satellite imagery, weather data, cell phone data, drawn images, and social media data, are all examples of geospatial data. When geospatial data can be found, shared, analyzed, and combined with standard business data, it is most useful.

Benefits of using geospatial data

It should come as no surprise that geospatial data has real-world uses beyond scientific interest, but you might be surprised by some of the applications of geospatial data. Here are a few examples of how GIS may be used for location intelligence in everyday life:

Urban Planning

Geospatial data can assist with both the human side of urban expansion and the understanding of the geographical area in urban planning. For instance, how should a city grow? What do the locals require more of? Are the city’s outskirts capable of supporting more development?


Geospatial is currently being used to evaluate soil data to determine which crops might thrive in specific places. It also aids farmers in developing more effective harvesting techniques. As a result, food production has increased and environmental practices have improved.


Map apps for smartphones and cars rely largely on Geospatial data to keep their maps up to date. Consumers rely on these navigation systems to safely and effectively get them where they need to go. Location intelligence, thank you!


Telecommunications firms utilize geographic data to plan and develop their networks, as well as to maintain track of consumer needs and maintenance schedules. Thanks to GIS and location intelligence, 5G mobile internet connectivity is the next big thing.


GIS may assist with a variety of transportation-related concerns, such as identifying unsafe intersections and enhancing road optimization, as well as determining the best placement for a new road or rail route.

Geospatial analysis and analytics

Although geospatial analysis, as enabled by GIS, was first employed in life sciences such as geology, ecology, and epidemiology, its application has now spread to almost every industry. Its applications currently span the defense and social sciences industries. And geospatial analysis’ findings have an impact on issues as crucial as natural resource management and national intelligence.

Geospatial analysis is well suited to studying a large number of objects at once, monitoring hundreds or even thousands of events, and gathering relevant data. This allows businesses of all sizes to use data to make better business decisions:-

Hundreds of thousands of miles of electrical lines can be analyzed by utilities companies.

Restaurants can track incoming shipments from food suppliers using geospatial analysis tools.

By targeting local assets, wind and solar systems can examine environmental circumstances.