The avatar for @neocartocnrs
Nicolas Lambert
Hi. I'm Nicolas Lambert, research engineer in geographic information science at CNRS (France). My job is to draw maps and teach cartography at the university. I am a geographer 🌎, and not really a developer 🖥️
Public
Courses & Training
Edited
Sep 18, 2024
Fork of Observable kezako ?
4 stars
24
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{
let a = 10; // Number
a = true; // boolean
a = [1, 2, 3, 4]; // Array
a = { nom: "Nicolas", prénom: "Lambert" }; // Object
a = "JavaScript"; // String
return a;
}
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typeof NaN
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{
let a = [7, 1, 9, 3, 10, 4, 5, 6, 2, 8];
return a.sort();
}
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{
let a = [7, 1, 9, 3, 10, 4, 5, 6, 2, 8];
return a.sort((a, b) => a - b);
}
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chart = {
const width = 640;
const height = 400;
const margin = { top: 20, right: 30, bottom: 30, left: 40 };

const x = d3
.scaleUtc()
.domain(d3.extent(aapl, (d) => d.Date))
.range([margin.left, width - margin.right]);

const y = d3
.scaleLinear()
.domain([0, d3.max(aapl, (d) => d.Close)])
.range([height - margin.bottom, margin.top]);

const svg = d3.create("svg").attr("width", width).attr("height", height);

svg
.append("g")
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x));

svg
.append("g")
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y));

svg
.append("path")
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr(
"d",
d3
.line()
.x((d) => x(d.Date))
.y((d) => y(d.Close))(aapl)
);

return svg.node();
}
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Plot.plot({
marks: [Plot.tickX(data2, { x: "gdppc" })]
})
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Plot.plot({
grid: true,
marginLeft: 50,
facet: {
data: data2,
y: "region"
},
marks: [Plot.boxX(data2, { x: "gdppc" })]
})
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aqdata = aq
.from(data)
.select("id", "name", "pop", "gdp")
.orderby(aq.desc("pop"))
.filter((d) => d["pop"] > 200000000)
.relocate("gdp", { before: "pop" })
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md`${aqdata.toMarkdown()}`
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// Ceci est une cellule
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Voici du texte en *italic* ou en __gras__ avec un [lien](https://observablehq.com/).
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c = \pm\sqrt{a^2 + b^2}
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<div>ceci est du texte surligné en <span style="background-color:tomato; color:white">rouge</span>.</div>
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<canvas id="myCanvas" width="100" height ="100" style="border:1px
solid #000000; background-color: steelblue;"></canvas>
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<svg viewBox="0 0 1000 100" xmlns="http://www.w3.org/2000/svg">
<rect x="0" y="0" width="100px" height="100px" fill="#F2CD3B" stroke="#06000C" />
</svg>
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a = 10
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b = 62
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c = a + b
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x = {
let val1 = 8;
let val2 = 7;
return val1 * val2;
}
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function sum(a, b) {
return a + b;
}
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sum(10, 30)
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multi = (a, b) => a * b
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multi(3, 8)
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data.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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e + d
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d = 120
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e = 5
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viewof radios = Inputs.radio(["pop", "pib", "idh"], {
label: "Variable à traiter",
value: "pop"
})
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viewof date = Inputs.date({label: "Date", value: "2023-09-28"})
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viewof select = Inputs.select(["Paris", "Marseille", "Lyon"], {
label: "Choisissez une ville"
})
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<svg viewBox="0 0 1000 100" xmlns="http://www.w3.org/2000/svg">
<circle cx=50 cy=50 r=50 fill="#4ab58c"/>
</svg>
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<svg viewBox="0 0 1000 100" xmlns="http://www.w3.org/2000/svg">
<circle cx=${position} cy="50" r=${radius} fill="${color}"/>
</svg>
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premiermai
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import { chart1 } from "@neocartocnrs/strikes"
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chart1
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dicopal = require("dicopal")
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dicopal.getPaletteProviders()
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dicopal.getRawData("colorbrewer")
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pal = dicopal.getColors("Sunset", 7)
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geo = require("geotoolbox@2")
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world = FileAttachment("world.json").json()
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world_light = geo.simplify(world, { k })
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africa = geo.filter(world, (d) => d.region == "Africa")
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viewof dist = Inputs.range([1, 4000], { label: "Distance", step: 100 })
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buff = geo.buffer(africa, { dist: dist })
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clipworld = geo.clip(world, { clip: buff })
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bertin = require("bertin")
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bertin.draw({
layers: [
{
geojson: world,
fill: "blue",
stroke: "red"
}
]
})
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bertin.draw({
layers: [
{
type: "bubble",
geojson: world,
values: "pop", // <- données quantitatives absolues
fill: {
type: "typo",
values: "region" // <- données qualitatives
}
},
{
geojson: world,
fill: "#CCC"
}
]
})
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bertin.draw({
params: { projection: "InterruptedSinusoidal" }, // Paramètres généraux (marges, projection, etc.)
layers: [
{ type: "header", text: "La population mondiale" }, // Titre
{ type: "footer", text: "Fait avec bertin.js", anchor: "middle" }, // Source
// COUCHE 1 (cercles)
{
type: "bubble",
geojson: world, // géometrie
k: radiusmax,
values: "pop", // variable
fill: "#b566ac", // couleur des cercles
stroke: "white", // couleur de contour des cercles
strokeWidth: 0.5, // épaisseur
tooltip: ["$name", "$pop"], // Infobulle
leg_x: 20, // position de la légende (x)
leg_y: 250, // position de la légende (y)
leg_title: "Population des\npays en 2000", // Titre de la légende
leg_round: -3 // arrondi
},
// COUCHE 1 (pays)
{
geojson: world, // géométrie
fill: "white", // couleur de fond
stroke: "none", // cauleur de contour (aucun)
fillOpacity: 0.5 // Opacité
},
{ type: "graticule" }, // Lignes de latitude et longitude
{ type: "outline" } // coutour de la Terre dans la projection
]
})
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viz = require("geoviz@0.4")
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viz.path({ data: world, tip: true })
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viz.tile({ url: "worldimagery" })
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viewof k2 = Inputs.range([10, 100], { label: "Radius max", step: 1, value: 30 })
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viewof field = Inputs.radio(["pop", "gdp"], { label: "Field", value: "pop" })
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{
let svg = viz.create({
zoomable: true,
width: 800,
projection: d3.geoNaturalEarth1()
});
svg.outline();

svg.header({ text: "World Population", id: "worldtitle" });

// Countries layer
svg.path({
datum: world,
fill: "white",
fillOpacity: 0.4
});
// Circle layer with default parameters
svg.circle({
id: "bubble",
data: world,
fill: "#38896f",
r: "pop",
tip: true
});

return svg.render();
}
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