Skip to main content
SimilarExport ZIP
100%

polymaps.appspot.com

✓ Published0🌍 Public
Mmbostock
Last edited Aug 26, 2010
Created on Aug 26, 2010

A web app serves pre-scraped GeoJSON boundary data for US states and counties from a Google App Engine backend. The app's URL handlers route requests for state or county data, while a Python scraper fetches OpenStreetMap data via ModestMaps, clips geometries using Shapely, and outputs compressed GeoJSON at multiple zoom levels. The frontend, not shown, would likely render these features as interactive polygons, with the server enabling cross-origin requests for client-side visualization.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist a76504adb7799e4c28c6d1558bd35ce3

This example displays a map of the United States using an Albers USA projection, rendering state boundaries as SVG paths. It loads geographic data from a local `us-states.json` file containing a FeatureCollection of state polygons. The code uses d3.json to fetch the data and d3.geo.path with a d3.geo.albersUsa projection to convert GeoJSON coordinates into screen paths. The visualization presents a simple, static outline map without additional data encoding or interaction.

AAurelink
66% match
Loading thumbnail…

states.geojson

This example visualizes the boundaries of all U.S. states from a GeoJSON file. The data is rendered as a static map using D3's geographic projections and path generators (e.g., d3.geoPath), with each state's polygon colored distinctly to show its shape and relative location. The visualization relies on the coordinate geometry in states.geojson to draw the contiguous United States, Alaska, and Hawaii, enabling quick comparison of state boundaries and spatial layout.

WWill Carter
65% match
Loading thumbnail…

Gist 11520211

This example visualizes the geographic boundaries of US states and counties using a TopoJSON file that encodes land, county, and state outlines. Built with D3, it renders the map from the `us.json` TopoJSON data, which contains geometry collections for counties and states. The visualization likely uses D3's projection and path generators to draw the geographic shapes, displaying the boundaries with distinct styling for counties and states. The minimal code structure suggests a basic interactive or static map, with the data provided in a structured TopoJSON format.

CCaged
65% match
Loading thumbnail…

Gist 08d3bc545278d6a3b2d22df875392612

This example visualizes U.S. state boundaries using D3 v4’s geoAlbersUsa projection and d3.geoPath to render geographic features from a local us-states.json file. The SVG canvas, sized 700x580, is appended to the body, and each state’s polygon is drawn as a path element with a default fill and stroke. The map is centered using a translate of [width/2, height/2], and the simple code demonstrates how to load and project GeoJSON data for display. No interactions or styling are applied, keeping the focus on the map layout.

JJoymangulJensen
65% match
Loading thumbnail…

Gist 6b515fcc2b7c6479d9c31059140eb611

This example displays a full-screen interactive map of the contiguous United States, centered on the country’s geographic midpoint using Mapbox GL JS. The map uses a custom Mapbox style and includes a navigation control for zoom and rotation. The viewport is constrained to the bounding box spanning from the Southwest to the Northeast corners of the lower 48 states. The code sets an initial zoom level and center coordinates derived from that bounding box, but does not load or visualize any external data layers.

WWill Carter
64% match
Loading thumbnail…

Shared Data

This interactive map visualizes the population distribution of the United States by rendering state and county boundaries alongside state centroids. Built using D3.js, the visualization combines `d3.geoPath` to project and draw the geographic shapes from the included `us-states.json` and `us-counties.json` files, while `d3.geoPath` also handles the state centroids from `us-state-centroids.json`. The map is rendered dynamically, displaying the detailed boundaries and population data sourced from the provided gist.

Mmbostock
64% match
Loading thumbnail…

Gist ea51c362645dc8fb9bdbba440558b37a

Atlas of the United States, using a TopoJSON shapefile rendered with `d3.geoPath` and a custom Albers projection. The map is overlaid with a graticule generated by `d3.geoGraticule`, and states are colored by a choropleth scale. The visualization is drawn on an SVG canvas, and the code uses `d3.json` to load the TopoJSON data and `topojson.feature` to convert it into GeoJSON. A tooltip appears on hover, displaying the state name and value.

CCliffordAnderson
64% match
Loading thumbnail…

Gist 652595e55960a8e04a29

This example visualizes the spatial relationships between metropolitan statistical areas and their constituent counties, townships, and other administrative geometries. The code first builds a combined geometry table using SQL, merging overlapping regions across multiple spatial layers while excluding special cases like Boston. It then renders these shapes using D3.js, likely leveraging `d3.geoPath` for projection and canvas or SVG drawing. The query explicitly handles hierarchical and overlapping geographies, prioritizing township-level detail where available and falling back to county unions for other areas. The final visualization shows how different government boundaries interlock within U.S. metropolitan regions, with the SQL preprocessing ensuring no duplicated or missing polygons.

CCaged
64% match