Application | CartoDB

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.

77% match

CartoDB Workshop | CartoDB.js

This example uses CartoDB.js to display an interactive map inside a full-screen div. The code initializes a map with a single custom overlay button labeled “Do Something,” which sits in the top-right corner and changes its background on hover. The map itself is rendered using the CartoDB library’s tile layers, while the button is styled with the included cartodb-infobox CSS class. The JavaScript structure defines a main function tied to the window load event, though no map layers or data sources are explicitly loaded in the provided snippet.

76% match

Gist a61b3f54da810f6e9490

This example demonstrates how to map and animate earthquake data from the USGS CSV feed using CartoDB’s mapping tools. It shows temporal earthquake occurrences through an interactive map, with points updating over time. The code relies on CartoDB’s SQL API and JavaScript library for layer management, alongside D3.js for data-driven visualizations. It also integrates Chart.js for supplementary graphs and uses dynamic styling via CartoDB’s tile rendering. The visualization highlights both spatial distribution and time-based animation of seismic events.

74% match

Layer selector example | CartoDB.js

This example shows an interactive map of urban areas with a click-to-zoom-and-download feature. It displays polygon features from the Natural Earth dataset, and clicking a polygon either zooms to its centroid if the map is zoomed out, or triggers a download of shapefile data from an OpenStreetMap database query. The visualization uses CartoDB.js to create the map and manage layers, with a custom SQL query selecting geometry, area, and centroid coordinates. The code also enables feature interactivity and handles click events to update the map view or initiate a file download.

Gist 24e4e0ec42cdeff6633c

This example presents a promotional slideshow for CartoDB, a cloud-based mapping and data visualization platform. The presentation uses D3.js to animate text bullet points and an interactive map visualization, showcasing features like drag-and-drop data importing, real-time dashboards, and GIS analysis through PostGIS. The map rendering employs d3.geoPath to draw geographic boundaries, while the slideshow transitions through sections covering web development integration, team collaboration, and high-performance data processing on scalable infrastructure.

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.

Map - Table

A map and sortable table display geographic data from a CartoDB visualization, with the table listing attribute columns and rows from the map's underlying dataset. The interface uses the CartoDB.js library to render the map and SQL API to query data, while jQuery DataTables provides interactive sorting and pagination. Users can filter table entries by column values, which dynamically updates the map's SQL query to highlight matching features. The example demonstrates a linked map-table workflow for exploring spatial and tabular data together.