Maps — and other representations of the world.
{
const svg = d3
.create("svg")
.attr("viewBox", [0, 0, width, height])
.style("background", "lightblue");
const projection = d3
.geoAzimuthalEquidistant()
.rotate([0, 90, -30])
.scale(width * 0.6)
.translate([width * 0.5, height * 0.54]);
const path = d3.geoPath(projection);
svg
.append("path")
.datum(d3.geoGraticule10())
.attr("d", path)
.attr("fill", "none")
.attr("stroke-width", 0.25)
.attr("stroke", "white");
const tpath = DOM.uid("tpath");
svg
.append("path")
// hacky line simplification, in order to make the legend readable
.datum(pf.filter((d, i) => i % 10 === 0).map(projection))
.attr("id", tpath.id)
.attr("d", d3.line().curve(d3.curveBasisClosed))
.attr("fill", "none")
.attr("stroke-width", 2)
.attr("stroke-dasharray", [7, 3])
.attr("stroke", "white");
svg
.append("text")
.attr("fill", "#fff")
.style("font-family", "sans-serif")
.style("font-size", `${(10 * width) / 928}px`)
.style("font-weight", "bold")
.style("letter-spacing", (3 * width) / 928)
.attr("text-anchor", "middle")
.attr("dy", -8)
.append("textPath")
.attr("xlink:href", tpath.href)
.text("ANTARCTIC CONVERGENCE")
.attr("startOffset", "50.5%");
svg
.append("path")
.datum(topojson.feature(world, world.objects.land))
.attr("d", path)
.attr("fill", "white");
const nodes = Array.from(data, (d, i) => ({
...d,
x: projection(bases.get(d.sitio))[0] + i / 100,
y: projection(bases.get(d.sitio))[1] - (i * i) / 1000
}));
d3.forceSimulation(nodes)
.force(
"x",
d3.forceX((d) => d.x)
)
.force(
"y",
d3.forceY((d) => d.y)
)
.force("collide", d3.forceCollide().radius(4))
.tick(10)
.stop();
svg
.append("g")
.selectAll()
.data(nodes)
.join("circle")
.attr("r", 4)
.attr("transform", (d) => `translate(${d.x},${d.y})`)
.attr("fill", (d) => color(d.nacionalidad))
.attr("d", path)
.append("title")
.text(
(d) => `${d["nombre y appellido"]}
${d["fecha"].toLocaleString("en-GB", {
weekday: "long",
year: "numeric",
month: "long",
day: "numeric",
timeZone: "UTC"
})}
${d.sitio}`
);
return svg.node();
}
color = d3.scaleOrdinal(d3.schemeDark2)
import { data } from "@fil/nacimientos-en-la-antartida"
bases = new Map(coords.map(({ sitio, lon, lat }) => [sitio, [lon, lat]]))
world = d3.json("https://unpkg.com/visionscarto-world-atlas/world/50m.json")
height = width * 0.8
viewof coords = Inputs.table(
d3.csvParse(
`sitio,desc,lon,lat
Kerguelen,Kerguelen Islands,69.354463, -49.394828
Grytviken,South Georgia,-36.5117455, -54.281573
Esperanza,Trinity Peninsula,-56.997778,-63.3975
Eduardo Frei Montalva,Fildes Peninsula,-58.9054098,-62.1842356`,
d3.autoType
)
)
// source: Orsi, AH., Harris, U. (2019) Fronts of the Antarctic Circumpolar Current - GIS data, Ver. 1, Australian Antarctic Data Centre - https://data.aad.gov.au/metadata/records/antarctic_circumpolar_current_fronts, Accessed: 2021/11
pf = FileAttachment("polar-front.json")
.json()
.then((d) => d.coordinates[0])
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.