Broken pieces | CartoDB.js

Easy example | CartoDB.js

This example shows a full-screen interactive map that renders a dataset called "untitled_table_5" with custom CartoCSS styling. The map displays points, lines, and polygons in a red color scheme with white outlines, and includes tooltips triggered by interactivity on the `cartodb_id` field. The code uses the CartoDB.js library version 3, specifically `cartodb.createVis`, which loads the visualization from a JSON configuration object. The base map is provided by OpenStreetMap tiles via Leaflet, while the geographic data is queried from a CartoDB table using SQL and styled with CartoCSS rules for each geometry type.

75% match

Leaflet multilayer example | CartoDB.js

A Leaflet map displays tornado data aggregated into hexagon bins at three distinct scales, with each bin labeled by its point count. The visualization uses CartoDB.js to run a SQL query that computes three nested hexagon grids, filtering points into large, medium, and small clusters based on density thresholds. A CartoDB sublayer applies CartoCSS to scale text sizes by cluster tier, overlaying the raw points with red labels on a Stamen toner base layer.

75% match

Leaflet example | CartoDB.js

This example combines CartoDB.js with Leaflet to display a choropleth-style map of urban areas, overlaying vector polygons from a CartoDB SQL query. The map uses a Stamen toner tile layer as the base, with a CartoDB visualization layer added via `cartodb.createLayer`. The code enables hover interactions on the sublayer, showing a popup with the `area_sqkm` attribute, and separately renders simplified GeoJSON from the `ne_50m_urban_areas` table using `L.geoJson`. Mouseover events highlight polygons by changing their stroke color to red, while mouseout resets the style.

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Leaflet multilayer example | CartoDB.js

A gallery of small, synchronized Leaflet maps displays each country from the Natural Earth dataset in its own bounding box, with the target country highlighted in red. Using CartoDB.js, the code executes a SQL query to fetch country extents, then creates a separate map per row and applies CartoCSS styling to emphasize the selected polygon. Hover interactions fetch simplified GeoJSON geometries via `cartodb.SQL` and dynamically add or remove highlight layers using Leaflet’s `L.GeoJSON.geometryToLayer` and `featureOver`/`featureOut` events.

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Gist 4354110

This visualization displays a map rendered with CartoDB, showing geographic data from a hosted visualization. The page loads a full-screen map using the CartoDB.js library, which initializes the map via `cartodb.createVis` and connects to a remote visualization URL. The map itself is embedded in a fixed-size `<div>` element and relies on CartoDB’s built-in rendering and tile services to draw the geographic layers. The code does not include custom data processing or interaction logic; it simply leverages the CartoDB API to present the pre-configured map.

Basic CartoDB Layer in D3

This example displays geographic features from a CartoDB table as violet polygons on a map. It uses D3.js with a GeoJSON data format to load the geometry through the CartoDB SQL API. The code applies `d3.geoPath` with a projection to convert GeoJSON coordinates into SVG path data, appending `path` elements to a selected layer. The map relies on the `d3.json` method to fetch the data asynchronously and render it directly into the SVG.

CartoDB Point Clustering

This example demonstrates point clustering on a map using CartoDB.js, Google Maps, and a custom SQL template. It visualizes tornado data, grouping nearby points into hexagonal clusters of varying sizes based on a user-adjustable "cluster size" slider. The clustering algorithm runs through a SQL query that creates three levels of hexagon grids (large, medium, small) to aggregate points, with each cluster's size and opacity reflecting the number of points it contains. Clicking a cluster reveals details about the original points it represents. The side panel includes a range input to dynamically adjust the cluster radius, which updates the visualization via CartoDB's SQL and CartoCSS templating.

Easy example | CartoDB.js

This example demonstrates the flexibility of CartoDB.js for interactive map visualization of a global submarine cable network. Using a Leaflet basemap, the map is created via `cartodb.createVis` with a Viz.json URL, and the code shows how to access the native map object and work with sublayers. It includes a variety of styling techniques in CartoCSS, from simple line styling to variable-based and zoom-dependent styling, as well as composite operations. Interactive features include an infobox that displays cable attributes, and buttons that let users filter data with SQL and swap styles on the fly by changing the CartoCSS.