What do you understand by Geospatial Analytics?
The purpose of geospatial analytics is to visualize data from a variety of technologies - GPS, location sensors, social media, mobile devices, and satellite imagery - in order to understand phenomena and identify trends in complicated relationships between people and places. It is possible to use geo-referenced data to analyze nearly any event on earth. The visualizations may appear as maps, graphs, statistics, and cartograms, showing historical changes and current shifts. Predictions can be made more accurate and easier this way.
By adding timing and location to traditional types of data, geospatial analytics gives a more complete picture of events. Visual patterns and images reveal insights that might have been lost in a massive spreadsheet.
Geospatial analytics companies can instantly process large amounts of geographic and geometric data. A real-time geospatial visualization allows users to interact with billions of mapped points. By exploring data across time and space, users can see how something has changed over time.
What are some benefits of using Geospatial Data in Analytics?
The following are some of the benefits of geospatial analytics:
What are some use cases for Geographic Analytics?
The integration of geospatial data into many different industries and corporate functions shouldn't come as a surprise. Since it provides a lot of additional information and context, it's a valuable addition to data. Below are a few business practices that utilize geospatial data analysis.
READ MORE: Top 7 Geospatial Analytics Use Cases