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Exploring Data-driven styling on Google Maps Platform
Hosted By: Google Maps, AppGeo & Carahsoft
Did you know Google Maps Platform has unlocked new Data-driven styling capabilities and geographic boundary polygons? Platform users can now access and display boundary data for localities, postal codes, and more.
Data-driven styling provides much easier access to the most commonly desired geographies for aggregating and visualizing data. Users can now use tabular data associated with these geographic boundaries for visualization purposes. For example, with Data-driven styling, crime data, public health data, or census demographic data can be visualized by Zipcode.
Even better: Google manages the administrative boundary data for you, removing the need for you to purchase, update, and maintain boundary data yourself.
Attendees joined Google Maps, Google Maps Platform Partner AppGeo, and Carahsoft to explore this latest feature from Google Maps Platform and more. We shared examples especially relevant for our government audience looking to take advantage of this new feature.
In this webinar, attendees learned:
The latest functionality added on Google Maps Platform
Where and how data driven styling can be implemented
Our advice for getting started with Data-driven styling
Our key tips for working with statistical and geographic data
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