projection = d3.geoOrthographic().rotate([180, -25])
points = d3.json(
"https://gist.githubusercontent.com/Fil/6bc12c535edc3602813a6ef2d1c73891/raw/3ae88bf307e740ddc020303ea95d7d2ecdec0d19/points.json"
)
color = d3.scaleSequential(d3.interpolateTurbo).domain([40, -20])
bands = [
...d3
.geoContour()
.thresholds(50)
.isobands(points)
]
d3 = require("d3@7", "d3-geo-voronoi@2")
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
