Geospatial filters are a new way to quickly focus on a certain geographical area when using data, to consider low-carbon technology intervention projects or applying for funding schemes.
If you prefer video-based learning, here's a video which walks through the steps in this tutorial:
Lets say you want to visualize the distribution of EV Charge Points in a specific area. To access geospatial filters, first you must download the dataset.
We've downloaded the EV Charge Point dataset, and found that initially the volume and breadth of data can be overwhelming.
To apply a geospatial filter, click "Filters" then select "Geospatial Filter":
Geospatial filters support as granular-level of focus as you need. After selecting 'Geospatial Filter' you can either pick a polygon (using boundaries such as local authority, MSOA, LSOA), or draw it yourself with pinpoint accuracy.
In this case, we'd like to focus on Livery Street which has been identified as a EV Charge point site. Once the polygon is drawn, the data will be filtered:
You can click on individual properties on the map above, to view the data field points for each property. You can also download this data to share with stakeholders or to use in funding applications, if you have the appropriate permissions. Current export formats supported are JSON and CSV.