LogoLogo
HomeAcademyLoginTry for free
  • Welcome
  • What's new
    • Q2 2025
    • Q1 2025
    • Q4 2024
    • Q3 2024
    • Q2 2024
    • Q1 2024
    • Q4 2023
    • Q3 2023
    • Q2 2023
    • Q1 2023
    • Q4 2022
    • Q3 2022
  • FAQs
    • Accounts
    • Migration to the new platform
    • User & organization setup
    • General
    • Builder
    • Workflows
    • Data Observatory
    • Analytics Toolbox
    • Development Tools
    • Deployment Options
    • CARTO Basemaps
    • CARTO for Education
    • Support Packages
    • Security and Compliance
  • Getting started
    • What is CARTO?
    • Quickstart guides
      • Connecting to your data
      • Creating your first map
      • Creating your first workflow
      • Developing your first application
    • CARTO Academy
  • CARTO User Manual
    • Overview
      • Creating your CARTO organization
      • CARTO Cloud Regions
      • CARTO Workspace overview
    • Maps
      • Data sources
        • Simple features
        • Spatial Indexes
        • Pre-generated tilesets
        • Rasters
        • Defining source spatial data
        • Managing data freshness
        • Changing data source location
      • Layers
        • Point
          • Grid point aggregation
          • H3 point aggregation
          • Heatmap point aggregation
          • Cluster point aggregation
        • Polygon
        • Line
        • Grid
        • H3
        • Raster
        • Zoom to layer
      • Widgets
        • Formula widget
        • Category widget
        • Pie widget
        • Histogram widget
        • Range widget
        • Time Series widget
        • Table widget
      • SQL Parameters
        • Date parameter
        • Text parameter
        • Numeric parameter
        • Publishing SQL parameters
      • Interactions
      • Legend
      • Basemaps
        • Basemap selector
      • AI Agents
      • SQL analyses
      • Map view modes
      • Map description
      • Feature selection tool
      • Search locations
      • Measure distances
      • Exporting data
      • Download PDF reports
      • Managing maps
      • Publishing and sharing maps
        • Map settings for viewers
        • Map preview for editors
        • Collaborative maps
        • Embedding maps
        • URL parameters
      • Performance considerations
    • Workflows
      • Workflow canvas
      • Results panel
      • Components
        • Aggregation
        • Custom
        • Data Enrichment
        • Data Preparation
        • Generative AI
        • Input / Output
        • Joins
        • Parsers
        • Raster Operations
        • Spatial Accessors
        • Spatial Analysis
        • Spatial Constructors
        • Spatial Indexes
        • Spatial Operations
        • Statistics
        • Tileset Creation
        • BigQuery ML
        • Snowflake ML
        • Google Earth Engine
        • Google Environment APIs
        • Telco Signal Propagation Models
      • Data Sources
      • Scheduling workflows
      • Sharing workflows
      • Using variables in workflows
      • Executing workflows via API
      • Temporary data in Workflows
      • Extension Packages
      • Managing workflows
      • Workflows best practices
    • Data Explorer
      • Creating a map from your data
      • Importing data
        • Importing rasters
      • Geocoding data
      • Optimizing your data
    • Data Observatory
      • Terminology
      • Browsing the Spatial Data Catalog
      • Subscribing to public and premium datasets
      • Accessing free data samples
      • Managing your subscriptions
      • Accessing your subscriptions from your data warehouse
        • Access data in BigQuery
        • Access data in Snowflake
        • Access data in Databricks
        • Access data in Redshift
        • Access data in PostgreSQL
    • Connections
      • Google BigQuery
      • Snowflake
      • Databricks
      • Amazon Redshift
      • PostgreSQL
      • CARTO Data Warehouse
      • Sharing connections
      • Deleting a connection
      • Required permissions
      • IP whitelisting
      • Customer data responsibilities
    • Applications
    • Settings
      • Understanding your organization quotas
      • Activity Data
        • Activity Data Reference
        • Activity Data Examples
        • Activity Data Changelog
      • Users and Groups
        • Inviting users to your organization
        • Managing user roles
        • Deleting users
        • SSO
        • Groups
        • Mapping groups to user roles
      • CARTO Support Access
      • Customizations
        • Customizing appearance and branding
        • Configuring custom color palettes
        • Configuring your organization basemaps
        • Enabling AI Agents
      • Advanced Settings
        • Managing applications
        • Configuring S3 Bucket for Redshift Imports
        • Configuring OAuth connections to Snowflake
        • Configuring OAuth U2M connections to Databricks
        • Configuring S3 Bucket integration for RDS for PostgreSQL Exports in Builder
        • Configuring Workload Identity Federation for BigQuery
      • Data Observatory
      • Deleting your organization
    • Developers
      • Managing Credentials
        • API Base URL
        • API Access Tokens
        • SPA OAuth Clients
        • M2M OAuth Clients
      • Named Sources
  • Data and Analysis
    • Analytics Toolbox Overview
    • Analytics Toolbox for BigQuery
      • Getting access
        • Projects maintained by CARTO in different BigQuery regions
        • Manual installation in your own project
        • Installation in a Google Cloud VPC
        • Core module
      • Key concepts
        • Tilesets
        • Spatial indexes
      • SQL Reference
        • accessors
        • clustering
        • constructors
        • cpg
        • data
        • http_request
        • import
        • geohash
        • h3
        • lds
        • measurements
        • placekey
        • processing
        • quadbin
        • random
        • raster
        • retail
        • routing
        • s2
        • statistics
        • telco
        • tiler
        • transformations
      • Guides
        • Running queries from Builder
        • Working with Raster data
      • Release notes
      • About Analytics Toolbox regions
    • Analytics Toolbox for Snowflake
      • Getting access
        • Native App from Snowflake's Marketplace
        • Manual installation
      • Key concepts
        • Spatial indexes
        • Tilesets
      • SQL Reference
        • accessors
        • clustering
        • constructors
        • data
        • http_request
        • import
        • h3
        • lds
        • measurements
        • placekey
        • processing
        • quadbin
        • random
        • raster
        • retail
        • s2
        • statistics
        • tiler
        • transformations
      • Guides
        • Running queries from Builder
        • Working with Raster data
      • Release Notes
    • Analytics Toolbox for Databricks
      • Getting access
        • Personal (former Single User) cluster
        • Standard (former Shared) cluster
      • Reference
        • lds
        • tiler
      • Guides
      • Release Notes
    • Analytics Toolbox for Redshift
      • Getting access
        • Manual installation in your database
        • Installation in an Amazon Web Services VPC
        • Core version
      • Key concepts
        • Tilesets
        • Spatial indexes
      • SQL Reference
        • clustering
        • constructors
        • data
        • http_request
        • import
        • lds
        • placekey
        • processing
        • quadbin
        • random
        • s2
        • statistics
        • tiler
        • transformations
      • Guides
        • Running queries from Builder
      • Release Notes
    • Analytics Toolbox for PostgreSQL
      • Getting access
        • Manual installation
        • Core version
      • Key concepts
        • Tilesets
        • Spatial Indexes
      • SQL Reference
        • h3
        • quadbin
        • tiler
      • Guides
        • Creating spatial index tilesets
        • Running queries from Builder
      • Release Notes
    • CARTO + Python
      • Installation
      • Authentication Methods
      • Visualizing Data
      • Working with Data
        • How to work with your data in the CARTO Data Warehouse
        • How to access your Data Observatory subscriptions
        • How to access CARTO's Analytics Toolbox for BigQuery and create visualizations via Python notebooks
        • How to access CARTO’s Analytics Toolbox for Snowflake and create visualizations via Python notebooks
        • How to visualize data from Databricks
      • Reference
    • CARTO QGIS Plugin
  • CARTO for Developers
    • Overview
    • Key concepts
      • Architecture
      • Libraries and APIs
      • Authentication methods
        • API Access Tokens
        • OAuth Access Tokens
        • OAuth Clients
      • Connections
      • Data sources
      • Visualization with deck.gl
        • Basemaps
          • CARTO Basemap
          • Google Maps
            • Examples
              • Gallery
              • Getting Started
              • Basic Examples
                • Hello World
                • BigQuery Tileset Layer
                • Data Observatory Tileset Layer
              • Advanced Examples
                • Arc Layer
                • Extrusion
                • Trips Layer
            • What's New
          • Amazon Location
            • Examples
              • Hello World
              • CartoLayer
            • What's New
        • Rapid Map Prototyping
      • Charts and widgets
      • Filtering and interactivity
      • Summary
    • Quickstart
      • Make your first API call
      • Visualize your first dataset
      • Create your first widget
    • Guides
      • Build a public application
      • Build a private application
      • Build a private application using SSO
      • Visualize massive datasets
      • Integrate CARTO in your existing application
      • Use Boundaries in your application
      • Avoid exposing SQL queries with Named Sources
      • Managing cache in your CARTO applications
    • Reference
      • Deck (@deck.gl reference)
      • Data Sources
        • vectorTableSource
        • vectorQuerySource
        • vectorTilesetSource
        • h3TableSource
        • h3QuerySource
        • h3TilesetSource
        • quadbinTableSource
        • quadbinQuerySource
        • quadbinTilesetSource
        • rasterSource
        • boundaryTableSource
        • boundaryQuerySource
      • Layers (@deck.gl/carto)
      • Widgets
        • Data Sources
        • Server-side vs. client-side
        • Models
          • getFormula
          • getCategories
          • getHistogram
          • getRange
          • getScatter
          • getTimeSeries
          • getTable
      • Filters
        • Column filters
        • Spatial filters
      • CARTO APIs Reference
    • Release Notes
    • Examples
    • CARTO for React
      • Guides
        • Getting Started
        • Views
        • Data Sources
        • Layers
        • Widgets
        • Authentication and Authorization
        • Basemaps
        • Look and Feel
        • Query Parameters
        • Code Generator
        • Sample Applications
        • Deployment
        • Upgrade Guide
      • Examples
      • Library Reference
        • Introduction
        • API
        • Auth
        • Basemaps
        • Core
        • Redux
        • UI
        • Widgets
      • Release Notes
  • CARTO Self-Hosted
    • Overview
    • Key concepts
      • Architecture
      • Deployment requirements
    • Quickstarts
      • Single VM deployment (Kots)
      • Orchestrated container deployment (Kots)
      • Advanced Orchestrated container deployment (Helm)
    • Guides
      • Guides (Kots)
        • Configure your own buckets
        • Configure an external in-memory cache
        • Enable Google Basemaps
        • Enable the CARTO Data Warehouse
        • Configure an external proxy
        • Enable BigQuery OAuth connections
        • Configure Single Sign-On (SSO)
        • Use Workload Identity in GCP
        • High availability configuration for CARTO Self-hosted
        • Configure your custom service account
      • Guides (Helm)
        • Configure your own buckets (Helm)
        • Configure an external in-memory cache (Helm)
        • Enable Google Basemaps (Helm)
        • Enable the CARTO Data Warehouse (Helm)
        • Configure an external proxy (Helm)
        • Enable BigQuery OAuth connections (Helm)
        • Configure Single Sign-On (SSO) (Helm)
        • Use Workload Identity in GCP (Helm)
        • Use EKS Pod Identity in AWS (Helm)
        • Enable Redshift imports (Helm)
        • Migrating CARTO Self-hosted installation to an external database (Helm)
        • Advanced customizations (Helm)
        • Configure your custom service account (Helm)
    • Maintenance
      • Maintenance (Kots)
        • Updates
        • Backups
        • Uninstall
        • Rotating keys
        • Monitoring
        • Change the Admin Console password
      • Maintenance (Helm)
        • Monitoring (Helm)
        • Rotating keys (Helm)
        • Uninstall (Helm)
        • Backups (Helm)
        • Updates (Helm)
    • Support
      • Get debug information for Support (Kots)
      • Get debug information for Support (Helm)
    • CARTO Self-hosted Legacy
      • Key concepts
        • Architecture
        • Deployment requirements
      • Quickstarts
        • Single VM deployment (docker-compose)
      • Guides
        • Configure your own buckets
        • Configure an external in-memory cache
        • Enable Google Basemaps
        • Enable the CARTO Data Warehouse
        • Configure an external proxy
        • Enable BigQuery OAuth connections
        • Configure Single Sign-On (SSO)
        • Enable Redshift imports
        • Configure your custom service account
        • Advanced customizations
        • Migrating CARTO Self-Hosted installation to an external database
      • Maintenance
        • Updates
        • Backups
        • Uninstall
        • Rotating keys
        • Monitoring
      • Support
    • Release Notes
  • CARTO Native App for Snowflake Containers
    • Deploying CARTO using Snowflake Container Services
  • Get Help
    • Legal & Compliance
    • Previous libraries and components
    • Migrating your content to the new CARTO platform
Powered by GitBook
On this page
  • Highlighting
  • Interaction styles
  • Configuring properties
  • Types of Interactions
  • Click-type interactions
  • Hover-type Interactions
  • Customizing interaction interface

Was this helpful?

Export as PDF
  1. CARTO User Manual
  2. Maps

Interactions

PreviousPublishing SQL parametersNextLegend

Last updated 2 months ago

Was this helpful?

Builder interactions allow you to configure various UI options to display the attributes associated with a layer. Interactions are disabled by default but can be enabled for each individual layer using the toggle button. Once enabled, you can choose from the following options:

  • Click: Users can extract insights by clicking on a feature rendered on the map.

  • Hover: Users can extract insights by hovering over a feature on the map.

Highlighting

For vector sources, features that are clicked or hovered over will be highlighted in a distinct style, provided the source includes a column named geoid (serving as a unique identifier) or is of a spatial index type.

Highlighting features for interactions are not available for raster layers.

Interaction styles

Interactions can be displayed in two formats:

  • Pop-up windows: Click and hoover-type interactions can be styled in various themes, such as light, dark ,etc.

  • Info panel: Click-type interactions can also appears in the right-side panel with a default style.

Configuring properties

Interactions can be customized either manually or through custom HTML code, with support for properties in vector layers and both properties and custom expressions in raster layers:

  • Adding Properties Manually: For vector layers, users can set labels and customize formats for their properties. For raster layers, users can configure bands (properties) and also define custom expressions to enhance data visualization and analysis.

  • Using HTML Custom Code: This method offers flexibility for both vector and raster layers. While vector layers allow users to design tailored interaction layouts using properties, raster layers support both properties and custom expressions for advanced configurations.

Interactions make it easy to explore and understand your map data by showing details about features. You can use pop-ups, which appear next to a selected or hovered feature, or info panels, which display detailed information on the right side of the map.

Types of Interactions

There are two primary types of interactions available:

  1. Click Interactions: Retrieve information when you click on a feature in the map.

  2. Hover Interactions: Display information when you hover over a feature in the map.

Click-type interactions

Non-aggregated layers

  • How it works: Information is retrieved directly from the server when you click on points, lines, or polygons.

  • Highlighting: Features are automatically highlighted when clicked.

Aggregated layers

  • How it works: Information is calculated on your computer for aggregated data (e.g., spatial indexes, cluster, etc.).

  • Aggregation operation: You’ll need to specify how data is aggregated (e.g., totals, averages).

Hover-type Interactions

Non-aggregated layers

  • How it works: Information is retrieved on your computer for individual points, lines, or polygons when you hover over them.

  • Highlighting: Requires a unique identifier column named geoidto enable highlighting.

  • Limitations:

    • Up to 5 columns of information can be displayed.

    • Column character values are limited to 150.

Aggregated layers

  • How it works: Information is calculated on your computer for grouped data when you hover over it.

  • Aggregation operation: You’ll need to specify how data is aggregated (e.g., totals, averages).

Connections to Redshift clusters only support the aggregation of categorical properties by any value for styling and interactions.

Customizing interaction interface

You can use the menu to choose between a pop-up window (displayed next to the feature on the map) or an info panel (added to the right-side panel).

You can add attributes by including them as a list or customize pop-ups to meet your specific requirements using HTML. With HTML customization, you can add images, modify styles, and more to create tailored user experiences.

Highlighting applied on inspected feature
Click-type interaction displayed as info panel