Reveal New Patterns

Look at your data spatially to discover new information. Detect and quantify statistically significant patterns.

Use Cases

  • Identify areas with high crime rates to determine where to assign more resources.
  • Find where a disease outbreak is most concentrated.
  • Find hot spots of potential customers within a region for targeted marketing.

This color-coded map of Medicare spending shows there are geographic differences in health care spending. Using the Find Hot Spots tool reveals statistically significant regions of high and low spending.

Find Suitable Locations

Identify existing locations that meet a set of characteristics and criteria. Derive new locations by overlaying information.

Use Cases

  • Find the best location for a new warehouse by identifying lots that are vacant, at least five acres, and within a mile of a freeway.
  • Identify areas that may be suitable habitat for a particular species by combining layers of vegetation, elevation, and distance from streams and lakes.

A grocery store chain is looking for a site to build a distribution center. The site must be vacant, at least 20 acres, outside a flood zone, and within a mile of a highway. Over 700 parcels are analyzed, and the result shows that four of those are potential sites for the distribution center.

GeoEnrich Your Data

Add contextual information to your data by choosing from thousands of data variables, such as demographics, consumer spending, and natural resources.

Use Cases

  • Understand the sales potential of an area.
  • Find the amount of critical habitat affected by a proposed new highway.
  • Identify the amount of agricultural land within half a mile of streams.

Which is the best location for a new coffee shop? GeoEnrich each location with demographic and lifestyle data to find the best target population.

Find Out What's Nearby

Create buffers or drive-times around a location to identify nearby features.

Use Cases

  • Identify alcohol-free school zones, for example any area within 1 mile of a school.
  • Find grocery stores that are within a 10-minute drive from a specific neighborhood.
  • Locate the closest fire station or hospital to a given address.

A city fire department wants to identify underserved areas by finding all areas that are more than 4 minutes drive-time from existing fire stations. It maps areas within a 4, 8, and 12 minute drive-time of an existing station. Several neighborhoods that are more than 4 minutes from an existing fire station are candidate sites for new fire stations.

Summarize Your Data

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.

Use Cases

  • Calculate total annual sales for a chain of stores by sales region.
  • Find out how many senior citizens live within a mile of a library.
  • Calculate how much of each type of land use is in each watershed.

By summarizing the total number of crimes within a school zone, areas with high crime rates can easily be identified.