What is Geospatial Analytics?
They refers to the extraction of meaningful information from geospatial data through analysis. It combines geographic information systems (GIS), data analytics, and location technologies to reveal patterns and insights from data tied to geographical locations and places.

By leveraging Geospatial Analytics data sources like GPS tracking, maps, satellite imagery etc., geospatial analytics helps organizations better understand customer behaviors, optimize distribution networks, predict natural disasters and more. The key capabilities include visualization of location data on maps, spatial queries, proximity analysis, density mapping and pattern recognition across geographical spaces.

Data Sources
Geospatial analytics mainly uses location-based data from various internal and external sources which can be categorized as follows:

Satellite Imagery - Recent advancements in remote sensing technology has made very high-resolution satellite imagery widely available. Satellite imagery provides up-to-date aerial views and landscape data for mapping, monitoring changes over time and feature extraction.

Get More Insights on, Geospatial Analytics