Data Visualization & GIS at Eurostat. Exploring new ways of making maps.
Grid Cartogram of EuropeMapping sharesmap: stripe compositionMapping with Textures.jsEurope in watercolormap: bivariate choroplethNUTS regions (The Nomenclature of territorial units for statistics): PerspectiveSmall multiple mapsDorling cartogram of Europe with labelsNUTS Dorling CartogramAnimated Dorling CartogramAnimating Gridded Statistics using reglHello, eurostat-mapVisualizing Eurostat grid data using Three.js & D3
Dorling Cartogram Configuration
simulation = d3
.forceSimulation(n2j.features)
.force(
"x",
d3.forceX().x(f => projection(f.geometry.coordinates)[0])
.strength(positionStrength)
)
.force(
"y",
d3.forceY().y(f => projection(f.geometry.coordinates)[1])
.strength(positionStrength)
)
.force(
"collide",
d3
.forceCollide()
.radius(f => collisionPadding + toRadius(+sizeDataIndex[f.properties.id]))
.strength(collisionStrength)
)
projection = d3
.geoAzimuthalEqualArea()
.rotate([rotateX, rotateY])
.translate([translateX, translateY])
.scale(scale)
n2j = (
await fetch(
`https://raw.githubusercontent.com/eurostat/Nuts2json/master/pub/v2/2016/4326/nutspt_${nutsLvl}.json`
)
)
//https://raw.githubusercontent.com/eurostat/Nuts2json/master/pub/v2/2016/3035/20M/2.json
.json()
n2jrg = (
await fetch(
`https://raw.githubusercontent.com/eurostat/Nuts2json/master/pub/v2/2016/4326/60M/0.json`
)
).json()
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