Look at your data spatially to discover new information. Detect and quantify statistically significant patterns.
Identify existing locations that meet a set of characteristics and criteria. Derive new locations by overlaying information.
Add contextual information to your data by choosing from thousands of data variables, such as demographics, consumer spending, and natural resources.
Create buffers or drive-times around a location to identify nearby features.
Summarize your data to see how things overlap, intersect, and connect. Count locations within a certain distance or drive-time of other locations. Count the number of points in an area and calculate attribute statistics like the average or standard deviation. Determine how much of your data falls within a specific area.