Data Visualisation Journalist (The National News).
Hablo español and sometimes english.
Public
Edited
Jun 1, 2024
mex_00mun = FileAttachment("v2_geometrias_municipios.json").json()
perimetro_mexico = FileAttachment("perimetro_mexico.geojson").json()
data = FileAttachment("prueba_csv_puntos.csv").csv({ typed: true })
datav2 = data.sort(() => 0.5 - Math.random())
datav2_sample = datav2.slice(0, 2000)
mapa_banda_interes_01 = Plot.plot({
width: 700,
projection: { type: "reflect-y", domain: perimetro_mexico },
color: {
type: "diverging",
legend: false,
//scheme: "Spectral",
range: ["#FF3640", "#ffffff", "#039DAB"],
//domain: [-5, 0, 5],
label: "Palmer's Drought Severity Index:"
},
marks: [
Plot.geo(perimetro_mexico, {
render: (i, s, v, d, context, next) =>
svg`<clipPath id="x">${next(i, s, v, d, context).children[0]}` // create the clipPath "x"
}),
Plot.raster(datav2_sample, {
x: "longitude",
y: "latitude",
fill: "banda_interes",
tip: "xy",
interpolate: Plot.interpolateNearest,
render: (i, s, v, d, context, next) =>
svg`<g clip-path="url(#x)">${next(i, s, v, d, context)}` // reference "x" as clip-path
}),
//Plot.geo(perimetro_mexico)
Plot.geo(mex_00mun, {
strokeWidth: 0.1,
stroke: "#7a7a7a"
})
]
})
Plot.legend({
style: {
fontSize: "0.75rem",
marginBottom: 10,
backgroundColor: "#FBF7EB"
},
width: 420,
height: 55,
tickSize: 10,
label: "Índice de Severidad de Sequía de Palmer",
color: {
type: "diverging",
domain: [-4, 0, 4],
range: ["#DE5905", "#ffffff", "#058ADE"],
ticks: 5
}
})
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