Spatial analysis is a type of geographical analysis which seeks to explain patterns of human behavior and its spatial expression in terms of mathematics and geometry, that is, locational analysis. It’s an exploratory process whereby we attempt to quantify the observed pattern then explore the processes that may have generated the pattern.

Geospatial analytics uses data from all kinds of technology — GPS, location sensors, social media, mobile devices, satellite imagery — to build data visualizations for understanding phenomena and finding trends in complex relationships between people and places. This geo-referenced data can be applied to nearly any happening on earth.

The visualizations can include maps, graphs, statistics and cartograms that show historical changes and current shifts. This can make predictions easier and more accurate.

Benefits of geospatial analytics include:

• Engaging insights — Seeing data in the context of a visual map makes it easier to understand how events are unfolding and how to react to those events.
• Better foresight — Seeing how spatial conditions are changing in real time can help an organization better prepare for change and determine future action.
• Targeted solutions — Seeing location-based data helps organizations understand why some locations and countries, such as the United States, are more successful for business than others.