Proximity Search

By • Feb 18th, 2007 • Category: Feature Updates

Need help planning a pub crawl? Want some assistance finding a beer store near the next brewpub you’re visiting?

The Beer Mapping Project hopes to help you with that.

There is a new way to focus a map onto a certain locations and their surrounding areas. We hope to focus and expand this resource into something extremely useful in the near future. But at the moment, we have activated a new feature that some people may find useful in sorting and segmenting areas into “custom maps”.

If you’re still interested and you’re still reading, we are about to commence the walkthrough:

1.) First, you need to know a location that you are planning to visit. For this example, we are going to visit the Brooklyn Brewery. They are located in a fairly busy beer section of Brooklyn and maybe after or before our visit we might want to check out a few of the other local beer spots. So, we will first look them up in The Beer Mapping Project’s database by using the location lookup.

We search for “Brooklyn Brewery” and we are returned a result that looks like the following image:

brooklyn search result

As you may notice, there are three new links on this page. There is a “locations within: 1 mile | 5 miles | 10 miles” link now that actually translates into 3 dynamic links that will bring back results consisting of locations within an expected radius using “Brooklyn Brewery” as the center point of the circle. It sounds complicated, but it’s fairly simple in practice.

2.) In this example, we decide to click “1 mile”. Since Brooklyn Brewery is in a fairly active area, we should get a decent number of results within walking distance. The following image is an example of the result of our click.

a mile from brooklyn brewery

3.) We seem to have found 11 locations in our search (including Brooklyn Brewery). So if we want to see these locations all presented on a map, we simply click the “Create a custom map of these locations.” link. Now, it is simply a matter of us waiting for the database, our chosen browser and the internet to make friends and return the proper page to us. Hopefully we shouldn’t have to wait more than a second or two. But in a worst case scenario, now is the time to reach for your beer and take a sip. When you are finished with the swallow, hopefully you will see something similar to the following image. (click the image to see the actual result of this example)

brooklyn brewery epicenter

As you can see from the image above, only the locations within the blue circle (in this case a two mile wide circle) are shown and referenced on the map. In this example, we have chosen a 1 mile radius. And if you remember your middle school geometry, the radius is the length from the center to the outside edge of a circle. So searching for a one mile radius from the center point of Brooklyn Brewery (note the red dot in the center; red = brewery) will return 11 locations that are located in The Beer Mapping Project’s database.

Basically, this should give our users a lot more options when searching The Beer Mapping Project’s database. We have a plan in the future for you to be able to substitute any location for the “center” location. So, in the near future we hope that you will be able to enter in the name and address for your hotel and your result will be a custom map (similar to the map image above) with your hotel in the center and everything within the database shown inside the radius of your choosing. This feature will empower you, the user, and hopefully it will give more opportunity for you to be able to find great craft beer!

Because that is what this whole Project is all about; empowering the user with the ability to find great craft beer!

is just a guy who writes code and does beer related things on the internet. Follow him at @beerinator.
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4 Responses »

  1. that’s freakin awesome…

    nice one.

  2. Wow, that is fantastic.

  3. Thanks guys!

    We aim to please (avoiding any proximity jokes here)!

  4. [...] We implemented Proximity Search, including maps by Proximity [...]

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