County Selector

Layer selector example | CartoDB.js

An interactive map demonstrates layer selection through a custom side panel. Using CartoDB.js and Leaflet, the example loads a multi-layer visualization from a CartoDB viz.json URL, displaying countries, cables, and populated places as separate sublayers. A styled HTML list acts as the layer selector, where clicking different options triggers the `show()` and `hide()` methods on specific sublayer indices to toggle their visibility. The map initializes on a dark background with zoom controls, and a SQL query object from `cartodb.SQL` is created for potential data interactions.

71% match

Layer selector example | CartoDB.js

This example shows an interactive map with a layer selector that lets users toggle between two data categories, Sunday and Monday, or view all data at once. The map is built with CartoDB.js, using the `cartodb.createVis` API to load a visualization from a hosted CartoDB account. A custom HTML list serves as the selector, and clicking an item triggers JavaScript that calls `layers.getSubLayer().show()` or `.hide()` on the appropriate sublayers. The code also uses the `cartodb.SQL` API, though only for setup, and relies on jQuery for DOM event handling.

70% match

zoomUsCounty

This interactive map displays all U.S. counties as gray polygons with state borders overlaid in white. Clicking a state zooms in on that region, while clicking a county triggers a deeper zoom to a scale of 23, with another click resetting the view. The visualization uses D3 v3 and TopoJSON to load geographic data from a gist, projecting it with `d3.geo.albersUsa` and rendering paths via `d3.geo.path`. Transitions animate the zoom using SVG transform scaling and translation, with hover effects highlighting counties and states in orange.

JJn1532

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.

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.

US Counties

US Counties visualizes county boundaries across the United States using a TopoJSON topology file rendered as an SVG with D3 v4. The map displays all US counties as individual paths, with geographic features drawn from arcs in the counties.json TopoJSON data source. The visualization uses a standard SVG rendering approach, allowing for crisp vector county outlines that can be scaled and interacted with.

Aandrew-reid

US Counties

This map of US counties displays all county boundaries with a subtle drop-shadow effect. The code uses D3 v4’s `d3.geoAlbersUsa` projection and `d3.geoPath` to render geographic features. It loads TopoJSON from a local `counties.json` file and converts it to GeoJSON via `topojson.feature` and `topojson.mesh`. The visualization plots state borders as a separate mesh, overlays white and blurred nation outlines for depth, and draws each county as an outlined SVG path with thin gray strokes.

MMTClass