POI Data (Point of Interest Data)
- Remove the current class from the content27_link item as Webflows native current state will automatically be applied.
- To add interactions which automatically expand and collapse sections in the table of contents, select the content27_h-trigger element, add an element trigger, and select Mouse click (tap).
- For the 1st click, select the custom animation Content 27 table of contents [Expand], and for the 2nd click, select the custom animation Content 27 table of contents [Collapse].
- In the Trigger Settings, deselect all checkboxes other than Desktop and above. This disables the interaction on tablet and below to prevent bugs when scrolling.
POI Data (Point of Interest Data)
Point of Interest (POI) data refers to geospatial information that identifies specific locations or places of interest within a geographic area. These points can represent various types of entities, such as restaurants, tourist attractions, gas stations, hospitals, and more. POI data is essential for various applications, including mapping services, navigation systems, and location-based marketing.
POI data typically includes attributes like the name of the place, its address, contact information, category (e.g., restaurant, hotel, park), and geographical coordinates (latitude and longitude). This information allows users to search for and discover nearby businesses or attractions based on their current location or preferences.
For instance, when you search for a nearby coffee shop on a map application, it uses POI data to display a list of coffee shops in your vicinity. These points of interest are usually represented as markers on the map, making it easy for users to visualize and select their desired destination. Additionally, POI data is a valuable resource for businesses and marketers to target their audiences effectively by delivering location-specific promotions or advertisements.
Overall, POI data plays a crucial role in enhancing user experiences in navigation, local search, and location-based services, contributing to the richness and functionality of geospatial applications.
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