Last updated 28 days ago
Amazon Location
A similar example that showcases how to integrate basemaps coming from Amazon Location.
Hello World
Learn how to quickly use CARTO and deck.gl to display a table from your data warehouse on top of a CARTO basemap
Live SQL Query
Run live SQL queries in your data warehouse to dynamically display and aggregate data in your CARTO + deck.gl application
Google Maps Basemap
This example contains a basemap selector, allowing you to switch between different CARTO and Google Maps basemap styles
Labels
Explain your data points with custom labels that automatically avoid clashing
Custom Markers
Learn how to add custom icons to replace the default point marker
Using the CARTO colors
We provide a set of high-contrast palettes ready to use for beautiful visualizations
Dynamic Tiling
Visualizing 1.4M points of interests in a performant way, directly from your data warehouse, by leveraging our dynamic tiling strategies
Pre-generated Tileset
This example contains 400M of polygons representing buildings, breaking all previous barriers of scalability and performance
H3
Use spatial indexes such as an hexagonal H3 grid to achieve incredible performance at any zoom level with custom aggregations
Quadbin
This example uses Quadbin, another type of spatial index based on a square grid, to dynamically aggregate millions of rows
Heatmaps
With CARTO + deck.gl we can easily create heatmaps out of point-based datasets directly from our cloud data warehouse
Trips
Learn how to use CARTO data in other deck.gl layers such as the TripsLayer to enrich your visualizations
Globe View
With deck.gl and CARTO you can build 3D visualizations across the globe, just like this animated example using flight data
Boundaries
Learn how to aggregate your data into a set of known geometries (such as postal codes) to optimize performance
Raster
With CARTO and deck.gl you can visualize raster data coming from your own data warehouse
Hello World with Widgets
An evolution of our Hello World example, plus widgets (formula + histogram) and filters, both column-based and spatial
Formula Widget
A simple formula widget, counting POIs in the current map area, using a spatial filter, from 1.4M POIs across the USA
Categories Widget
A categories widget, grouping 1.4M POIs across the USA by category, with interactivity and filters
Histogram Widget
A histogram widget, showcasing the distribution of worldwide fires according to their Fire Radiance Power (FRP)
Range Widget
A range widget, serving both as a visualization and an input, filtering worldwide fires by their Fire Radiance Power (FRP)
Scatterplot Widget
A scatterplot widget, showcasing the correlation between location and rating for Airbnbs in LA.
Time Series Widget
A time series widget for blue whale data across the East Pacific, including a client-side powered filter
Table Widget
A complete table widget with pagination and sorting, plus a spatial filter, to show all 1.4M POIs across the USA
Other Charts
Using CARTO widgets to create completely custom charts, such as a radar chart and a sankey chart for 2.3M bike trips in NYC
Named Sources
Use Named Sources in CARTO to avoid exposing SQL queries in your application, without requiring additional services
