Geospatial Analysis is the process of using time and position information within traditional data analysis processes. It includes collecting, displaying, and manipulating Geographic Information System (GIS) data such as images, satellite photographs, historical information, etc.
Geospatial analytics uses geographical coordinates, i.e., longitude and latitude, postal codes, street addresses, and other identifiers, to create geographical methods. These models include graphs, statistics, maps, charts, and data views that allow for building more understandable complex relationships. Geospatial Analysis will enable businesses to simultaneously analyze a large amount of data, knowing what is happening at different places and times and enabling more effective decisions and more accurate results. Maps allow recognizing the models previously indicated in the spreadsheets as contiguity, proximity, affiliation, and distance. Businesses can gather information from different locations in real-time, using tools like the Internet of Things (IoT), mobile devices, social media, and position sensors. By including time and location analysis, trends can be understood in a geographical or linear context. Meaning that forecasts can be made at a given site and at a given time in the future.