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A radius map can quickly help a company evaluate a specific area, whether calculating the driving time between multiple points on a map or determining the distances between locations within the boundary and a central location. Individuals can establish the radius in miles or kilometers, highlighting various points of interest within the parameters. Users can also determine how many points within your data fall within the boundary. Unfortunately, Google Maps does not allow this functionality currently.
Using a Radius Circle
There are a few benefits to using a radius within your mapping software. First, the radius map tool functionality allows a company to identify different franchising or expansion opportunities within a geographic area. A company can determine any overlap within the business, highlighting direct competitors effortlessly. From there, a business can evaluate potential locations for new buildings, preventing any overlap or competition simultaneously.
Second, this function can help establish drive times between multiple locations or buildings. A drive time polygon offers clear boundaries within a specified time limit. For sales agents looking to optimize appointments, highlighting specific areas can optimize routes and overall efficiency on the road.
Finally, a radius map can offer detailed information to central locations for the company. When reviewing specific areas for your company, overall accessibility is critical for success. A radius map aids in the evaluation of potential locations along with customer access. This includes any congestion or traffic issues overall.
Accessing a Radius Map with Third-Party Software
Third-party mapping software often incorporates Google Maps functionality while still bringing segmentation of user data. A radius offers a quick analysis, helping companies evaluate the distance between physical locations from a central point. Most mapping programs only offer single radius maps, while others may have multiple radiuses simultaneously. Multiple radiuses can further a company’s understanding of data, grouping consumers into different geographical locations. It also highlights any underserved or underdeveloped areas for expansion moving forward.
How to Create a Radius on a Google Map
If you’d like to add a radius to Google Maps, you’ll need mapping software that offers direct integration. Choose software that meets your needs while allowing continued growth as your company expands over time. Open the software and upload the customer data input. If this is your first time using the program, you’ll need to upload the content directly from your spreadsheet. Most mapping software allows automatic uploads from a CSV or other spreadsheet application. Alternatively, users can manually input datasets or copy and paste them directly into the program.
Choose the tools option from the mapping interface (located on the top left-hand corner) and choose the Radius and Proximity Tool. Locate the “Create Map” option to view your map in real-time. All location data will automatically plot on the Google Map application.
Enter the maximum distance or time limits and choose the central point for the radius on your map. The central point will be the starting point of your radius, with the radius extending out from that location. Customize the radius to match any proximity colors and ensure all labels, pins, and color-coding are included. The applicable data within the location parameters can be exported effortlessly, offering personalized data according to your company requirements. For example, using a radius map within the sales department can help optimize daily schedules for appointments.
Choosing Which Radius to Use
Third-party programs will often offer two types of radiuses, depending on your needs. The drive time polygon is used to get to one location from a central spot on a map. Users can adjust the time according to minutes and hours, depending on the maximum time allotted. The radius will show as a polygon, highlighting any points within the outlined boundaries. The distance radius focuses on a physical border, regardless of travel time. Users will determine the physical boundary and all points within the maximum limits.
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Route optimization requires a solid understanding of the area. Planning appointments according to generic data (for example, ZIP codes or city limits) isn’t going to work well in areas with high density. For example, a city core may struggle with traffic, making appointments or deliveries difficult.