Create maps that help you focus on, and analyze, key locations.
What is a radius map?
eSpatial radius maps take two sets of data and let you focus on their spatial relationship, by plotting them both within a radius circle. One dataset forms the center-point of the radius circle, while the other set of data is plotted within that circle. Radius maps are great for achieving greater business efficiencies or for planning. They are particularly suited to showing gaps in the market or, conversely, over-supply.
One set of data could be health clinics and the other set a list of attending patients. You can set a radius distance (say 10 miles) from each clinic and find out how many patients fall within this area. Such a visualization can be extremely revealing and inspiring, and can point up relationships and connections that you never realized existed.
Run business more efficiently
Staying with our example of clinics and patients, if you run a radius map analysis you may discover that there are overlaps or gaps in the market. For instance, in our sample, where two radius circles overlap each other, it suggests cannabilization of the market – two clinics are essentially catering to the same geographic regions. Alternatively, you may discover that within one radius circle there is a cluster of patients, while another clinic seems to be attending to a much smaller clientele. That immediately suggests a redeployment of staff or resources to the busy clinic.
Use with demographic data
eSpatial provides free datasets – including census information – with each account. Using such datasets on radius maps can help at the planning stage when a business has expansion plans. For instance, let’s imagine you have a chain of kid’s clothing stores and you want to find the best places to expand your business. Why not create a radius map with your proposed locations at the center of a circle? Next, plot relevant census data around the center that might suggest a high concentration of kids (schools, playgrounds, etc). In an instant, you may be able to tell if a location is viable or not.
Nearest Neighbor – set number of data points to be found within a distance
eSpatial Nearest Neighbor analysis allows you to find a set number of data points from a given point ( e.g. nearest 50 patients to a clinic). This is particularly good for organizing field staff. For instance, if you are a clinician who does house calls, this could generate a set number of patients for you to visit based on where you are at a particular time (clinic, your home, patient’s home, etc).