Find records near an address with the Address Proximity filter
SpatialKey offers several ways to filter based on location information in your data. Perhaps the easiest is to filter based on proximity to an address that you type in.
It’s easy to do. Here’s how:
More of a watcher than a reader? Skip straight to the video.
With your dataset open in a report, click the name of your dataset to open the Dataset Configuration Manger. Select Address Proximity Filter from the list and then Add Pod in the screen on the right.
This will open the Address Filter pod. To use the Address Filter, simply select a distance and a measurement type (the default is “1000” and “feet”), enter an address, and hit your ‘enter’ key.
In this example, we’ll search for records in our Building Permits dataset within 1 mile of “200 Larkin St, San Francisco CA.”
Notice that the dataset is filtered to show only records near this address, and a circle appears to show the boundary of this filter.
To add another address, simply type that address in the area provided and hit your ‘enter’ key.
Notice that this does an “or” filter, so that records near either address will match the filter. You can click the ‘x’ next to an address to remove that address from the filter.
To zoom into to the proximity of one of the addresses, simply click the magnifying glass next to that address.
Of course, now you can add other pods and filters to your visualization. Perhaps you want to see a timeline of the records near these addresses - and want to only filter to see records that were created recently.
To see a quick demonstration of these steps, just watch the video:
Here are a few things to keep in mind when using the Address Proximity Filter:
* When you type in an address, we’ll replace the address you enter with the exact match we find. If we can’t find your specific location, we may replace your address with a more general location, like a city center.
*If your dataset contains records outside of the United States, proximity searches will not return a true circle but rather an ellipse which is based on a translation of the distance you provided to degrees. We’ll let you know when we do this. The technical details about how this works are explained in the article “How is Proximity Filtering Performed?.”
* If you want to filter records in one dataset based on proximity to records in another dataset, you can use a dataset as a proximity filter. See this feature for details.
Follow Us: