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
Apr 5, 2023
15
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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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a = 10
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b = 20
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c = a + b
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d = {
let a = 8;
let b = 7;
return a * b;
}
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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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result = val1 * val2
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{
const svg = d3
.create("svg")
.attr("viewBox", [0, 0, 500, 60])
.style("background-color", "#CCC");

let moncercle = svg
.append("circle")
.attr("cx", 50)
.attr("cy", 30)
.attr("r", 25)
.attr("fill", "#e04a28");

if (anim) {
moncercle
.transition()
.duration(2000)
.attr("cx", 450)
.transition()
.delay(2000)
.duration(3000)
.attr("cx", 50)
.attr("r", 10)
.attr("fill", "blue")
.transition()
.attr("r", 25)
.attr("fill", "#e04a28");
}
return svg.node();
}
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geo = require("geotoolbox")
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viewof button = Inputs.button("Click me")
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button
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viewof colors = Inputs.checkbox(["red", "green", "blue"], { label: "color" })
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colors
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viewof rayon = Inputs.range([0, 100], { label: "Rayon du cercle", step: 1 })
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surface = Math.PI * rayon ** 2
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viewof text = Inputs.text({ value: "text" })
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Voici mon texte (<ins>**${text}**</ins>) en gras et souligné en markdown
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viewof col = Inputs.color({ label: "couleur", value: "#4682b4" })
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viewof cx = Inputs.range([50, 450], {label: "position", step: 1})
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viewof r = Inputs.range([10, 30], { label: "rayon", step: 1 })
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{
const svg = d3
.create("svg")
.attr("viewBox", [0, 0, 500, 60])
.style("background-color", "#CCC");

svg
.append("circle")
.attr("cx", cx)
.attr("cy", 30)
.attr("r", r)
.style("fill", col);

return svg.node();
}
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manifs = FileAttachment("manifs_retraites-2-1-1-1.csv").csv({ typed: true })
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Inputs.table(manifs)
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manifs_retraites-2-1-1-1.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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world = FileAttachment("world.json").json()
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viewof csvfile = Inputs.file({
label: "CSV file",
accept: ".csv",
required: true
})
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Inputs.table(csvfile.csv())
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nborg = manifs
.map((d) => ({ date: d.date, nombre: +d.organisateurs }))
.filter((d) => d.nombre > 1000)
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manifs
Type Table, then Shift-Enter. Ctrl-space for more options.

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newmanifs
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dt.array("ISO3")
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dt.rename({ ISO3: "id" }).objects()
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dt.select("NAMEen", "region").objects()
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dt.derive({ pdppercapita: (d) => d.gdp / d.pop }).objects()
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dt.orderby("pop").objects()
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summary = dt
.rollup({
min: (d) => aq.op.min(+d["pop"]),
max: (d) => aq.op.max(+d["pop"]),
mean: (d) => aq.op.mean(+d["pop"]),
median: (d) => aq.op.median(+d["pop"]),
sum: (d) => aq.op.sum(+d["pop"]),
stdev: (d) => aq.op.stdev(+d["pop"]),
count: (d) => aq.op.count()
})
.fold(aq.range(0, 7))
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maddison.csv
select "country", "pop" from "maddison.csv" where "year" = 2010 order by "pop" desc
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mydata[0].toJSON()
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tbl = FileAttachment("mydata.csv").csv({ typed: true })
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Plot.plot({
marks: [Plot.dotX(tbl, Plot.dodgeY({ x: "gdppc", fill: "black" }))],
height: 450
})
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Plot.plot({
grid: true,
marginLeft: 50,
facet: {
data: tbl,
y: "region"
},
marks: [Plot.boxX(tbl, { x: "gdppc", fill: "red" })]
})
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manifs
X
date
Y
—
organisateurs_paris
Color
#ff5375
Size
—
Facet X
—
Facet Y
—
Mark
bar
Type Chart, then Shift-Enter. Ctrl-space for more options.

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bertin = require("bertin")
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choro = bertin.draw({
params: { projection: "Eckert3" },
layers: [
{
type: "layer",
geojson: world,
fill: {
type: "choro",
values: "gdppc",
nbreaks: nbreaks,
method: method,
//pal: pal,
colors: pal,
leg_round: -2,
leg_title: `GDP per inh
(in $)`,
leg_x: 100,
leg_y: 200
},

tooltip: ["$name", "$gdppc", "(current US$)"]
},
{ type: "graticule" },
{ type: "outline" }
]
})
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autralia = FileAttachment("autralia.geojson").json()
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import { sketch } from "@neocartocnrs/cartographic-doodles"
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s = sketch(autralia, {
paper: true,
k: 0.05,
stroke: "none",
fill: "#193c75",
overflow: true,
roughness: roughness,
hachureGap: 2.5,
fillWeight: 0.5,
fillStyle: "zigzag",
bowing: bowing
})
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import { SummaryTable } from "@observablehq/summary-table"
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SummaryTable(manifs)
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