Creating a map with data in d3

Fork of D3 map

This visualization displays a world map populated with data points sourced from a SPARQL query against the Network of Digital Heritage (NMVW) dataset. Using the D3 v5 library with the geoNaturalEarth1 projection and geoPath for country outlines, the example fetches geographic coordinates and plots them as animated circles. Each point transitions from zero to eight pixels in radius with a bounce easing effect, creating a sequential reveal. The map itself renders in SVG, with a black sphere background and goldenrod countries.

CCH SAMPATH

89% match

D3 map

This example displays a natural Earth projection world map with photo thumbnails plotted at geographic coordinates. It queries the Network Digital Heritage SPARQL endpoint for image URLs and latitude/longitude pairs, then renders the images as SVG elements using d3.geoPath and d3.geoNaturalEarth1. The map itself loads TopoJSON world boundaries from the world-atlas package. Hovering over an image appends a text label via an event handler. The visualization uses d3.json for asynchronous data loading and d3-selection for DOM manipulation.

D3 map

This example displays a world map with color-coded countries and circular markers positioned at geographic coordinates, each filled with a photographic image. It uses D3.js (v5) with the `geoNaturalEarth1` projection and `geoPath` to render the map, loading TopoJSON country boundaries from the world-atlas package. Data is fetched from a SPARQL endpoint via a query that retrieves images, titles, and latitude/longitude for cultural heritage objects. The code creates SVG patterns containing images and applies them as fills to circles positioned using the projection function.

D3 map

This example displays a natural Earth projection world map populated with thumbnail images of photographs, each positioned by geographic coordinates derived from a SPARQL query against the Network Digital Heritage Netherlands API. The map is rendered as SVG using D3’s `geoPath` and `geoNaturalEarth1` projection, while country boundaries come from TopoJSON world-atlas data. Photographs are fetched, cleaned, and plotted as SVG `<image>` elements, with hover effects using CSS `mix-blend-mode`. The code leverages D3’s `json` loader and TopoJSON’s `feature` method.

BBryan Ray

Fork of D3 map

This example presents a world map populated with animated data points sourced from a live SPARQL query (Netwerk Digitaal Erfgoed). It uses d3.geoPath and d3.geoNaturalEarth1 to render country boundaries via TopoJSON, then plots geographic coordinates as circles. The circles animate in sequence using d3 transitions with a bouncy ease, starting from zero radius. The visualization demonstrates loading external data, projecting coordinates, and adding motion to a static map.

AAMINU LAWAL

D3 map

This visualization displays a world map with images of photographs positioned over the countries where they were taken. The map uses D3.js and the topojson library to render geographic boundaries, while a SPARQL query retrieves data from the Netwerk Digitaal Erfgoed API. D3's `geoNaturalEarth1` projection and `geoPath` generate the map, and fetched image URLs are plotted as SVG images at coordinates derived from each photo's latitude and longitude.

85% match

D3 map

This example visualizes a world map using D3 v5 and TopoJSON, plotting museum object locations from a SPARQL query against the Netherlands Digital Heritage Network’s NMVW dataset. A natural Earth projection renders country boundaries and a black sphere, while white circles animate onto coordinates using `d3.geoPath` and `d3.easeBounce`. Each circle’s position is computed from latitude and longitude via the projection, with staggered transitions revealing the data points sequentially.

84% match