Public
Edited
May 18
chart = {
const context = DOM.context2d(width, height);
const path = d3.geoPath(mutable projection, context).pointRadius(1.5);
function render() {
context.clearRect(0, 0, width, height);
context.beginPath();
path(graticule);
context.lineWidth = 0.5;
context.strokeStyle = "#aaa";
context.stroke();
context.beginPath();
path(sphere);
context.lineWidth = 1.5;
context.strokeStyle = "#000";
context.stroke();
context.beginPath();
path({type: "MultiPoint", coordinates: points});
context.fillStyle = "#f00";
context.fill();
}
function dragged() {
mutable projection = mutable projection;
render();
}
return d3.select(context.canvas)
.call(drag(mutable projection).on("drag.render", dragged))
.call(render)
.node();
}
map = {
const context = DOM.context2d(width, height);
const path = d3.geoPath(projection, context);
context.save();
context.beginPath(), path(outline), context.clip(), context.fillStyle = "#fff", context.fillRect(0, 0, width, height);
context.beginPath(), path(graticule), context.strokeStyle = "#ccc", context.stroke();
context.beginPath(), path(land), context.fillStyle = "#000", context.fill();
context.restore();
context.beginPath(), path(outline), context.strokeStyle = "#000", context.stroke();
return context.canvas;
path({type: "MultiPoint", coordinates: points});
context.fillStyle = "#f00";
context.fill();
context.beginPath();
path({type: "MultiPoint", coordinates: points});
context.fillStyle = "#f00";
context.fill();
}
land = topojson.feature(world, world.objects.land)
outline = ({type: "Sphere"})
mutable projection = d3.geoOrthographic()
.fitExtent([[1, 1], [width - 1, height - 1]], sphere)
.rotate([0, -30])
height = width
sphere = ({type: "Sphere"})
graticule = d3.geoGraticule10()
world = FileAttachment("land-50m.json").json()
points = (await FileAttachment("Whales@1.csv").csv({typed: true})).map(({longitude, latitude}) => [longitude, latitude])
mesh = d3.geoVoronoi(points).cellMesh()
d3 = require("d3@7", "d3-geo-voronoi@2")
import {drag} with {d3} from "@d3/versor-dragging"
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.
