The avatar for @nitaku
Matteo Abrate
Web Datavis researcher by day, Indie Game designer by night
Public
Official Data about Italy
Edited
Jul 9, 2021
2 stars
1
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map()
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comuni_data = comuni.features.map(d => d.properties)
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md`descrizione dati (sorgenti e contenuto)`
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md`### Mapshaper`
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md`Import shp dbf and prj into https://mapshaper.org/ .
Open console. If you want, you can remove attribute fields to save about 1MB. Make sure to keep the fields that identify the subdivision:
\`\`\`
filter-fields fields='COD_RIP,COD_REG,COD_PROV,PRO_COM,COMUNE,COMUNE_A'
\`\`\`

Simplify. Try 38.8% and repair all line intersections.

Export as topojson.`
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italyz = FileAttachment("comuni.topo.json").json()
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italy = FileAttachment("comuni.topo.json").json()
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comuni = topojson.feature(italy, italy.objects.comuni)
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projection = d3.geoAzimuthalEqualArea() // Lambert equal-area
.rotate([-9, -53]) // centered in Germany (FIXME?)
.fitExtent([[0, 0], [w, h]], comuni)
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path = d3.geoPath().projection(projection)
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d3 = require("d3@5")
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topojson = require("topojson-client@3")
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