Basic CartoDB Layer in D3

d3.carto - Basic d3.carto Map

This map uses the d3.carto.map plugin to render a single GeoJSON layer of world country boundaries, styled with a blue fill and black strokes. The page loads the map into a full-screen div, applies zoom/pan controls via the plugin's built-in interface, and enables clickable features for interactivity. Data comes from a local world.geojson file, with countries drawn as SVG polygons; the accompanying CSS defines the visual styling for map elements, controls, and modal dialogs.

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d3.carto - Simple Map Example

This example demonstrates the use of the d3.carto library to create a simple, layer-based map. It displays geographic features rendered as SVG elements, with support for canvas rendering and animation. The map leverages d3.carto’s API to define map layers, handle panning and zooming controls, and provide interactive features such as clickable markers and modals. The accompanying CSS ensures that vector elements maintain stroke width regardless of zoom, and the interface includes zoom and pan buttons positioned over the map.

AAlan McConchie

Gist 5830532

This example displays a map with a set of geographic features loaded from a CartoDB SQL query, which returns data in GeoJSON format. The visualization uses the Leaflet mapping library to render the map and a `L.geoJson` layer to draw the features. Each feature is processed with an `onEachFeature` callback that assigns a `cartodb_id` property to the corresponding Leaflet layer and adds it to a `drawnItems` layer group, which is then added to the map. The data source is the `leaflet_data` table from the osm2 CartoDB account.

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.

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.

CartoDB + D3 Bubble Map

A bubble map renders world borders and populated places on a blue SVG canvas, with city markers animating from random positions to their geographic coordinates. The visualization combines CartoDB’s SQL API (fetching GeoJSON from `d3_world_borders` and `d3_populated_places`) with D3’s `d3.geo.mercator` projection and `d3.geo.path` for borders. City circles scale by population, and clicking a marker displays its name via SVG text. A `d3.behavior.zoom` handler enables panning and zooming through SVG transforms.

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.

77% match

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.