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Visionscarto
Maps — and other representations of the world.
Published
#30DayMapChallenge
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#30DayMapChallenge
Dotted OceansWorld Cities GabrielAntipodal ArchipelagoBi-Hexagonal ProjectionParis, TexasUSSR, 1938Hex NDVIIGRF-90🌖 Crater-shadingModified Stereographic Alaska GLSLVolcano on A-FrameBorn in AntarcticaNatural Earth issuesHello, spl.jsNéguentropieLoir-et-Cher isodémographiqueTheoretical land coverFive OceansPantelleria Joy Plot
Routing dollars
Deriving PantelleriaGuessing CzechoslovakiaGHSL — Growing and decliningHistorical shapefilesThe E.N.D GameAnn Arbor pycnophylacticSpherical signed distanceWalk-on-Spheres… on a SpherePotential dollar flowsThirty days and as many maps
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// compute the balance of dollar notes as the difference between
// the sum of the rows and the sum of the columns of the OD matrix
balance = {
const outs = data.OD.map((l) => d3.sum(l));
const ins = d3.transpose(data.OD).map((l) => d3.sum(l));
return d3.zip(ins, outs).map(([in_, out_]) => in_ - out_);
}
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factor = (i, j) => {
const distance = Math.hypot(
points[i][0] - points[j][0],
points[i][1] - points[j][1]
);
return Math.pow(distance, exponent);
}
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graph = ({
sources: Uint16Array.from(links, ([i]) => i),
targets: Uint16Array.from(links, ([, j]) => j),
costs: links.map(([i, j]) => factor(i, j))
})
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flows = {
const A = new Map();

// compute the best tree from each starting point
for (let i = 0; i < regions.length; i++) {
const tree = [...shortest_tree({ graph, origins: [i] })].pop();

for (let j = 0; j < regions.length; j++) {
const p = data.OD[i][j];
let l;
let k = j;
while ((l = tree.predecessor[k]) > -1) {
A.set(`${l}-${k}`, (A.get(`${l}-${k}`) || 0) + p);
k = l;
}
}
}

return A;
}
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// https://raw.githubusercontent.com/tributetotobler/ttt/main/data/dollars.json
data = FileAttachment("dollars.json").json()
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points = data.coords.map(({ V2, V4 }) => [V2, V4])
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regions = data.polygones.map((d) => d.name)
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projection = d3
.geoIdentity()
.reflectY(true)
.fitExtent(
[
[0, 0],
[width, height]
],
{
type: "LineString",
coordinates: [
[5, 4],
[68, 45]
]
}
)
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radius = d3.scaleSqrt([0, 1500], [2, 30])
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height = 500
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import { shortest_tree } from "@fil/dijkstra"
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