Web Datavis researcher by day, Indie Game designer by night
Public
Edited
Nov 12, 2020
1 star
map = {
const svg = d3
.create("svg")
.attr("width", w)
.attr("height", h)
.attr("viewBox", [0, 0, w, h])
let map = svg
.append('g')
const s = 6
map.selectAll('.point')
.data(weather_data)
.enter()
.append('rect')
.attr('width', s)
.attr('height', s)
.attr('class', 'point')
.attr('transform', d => {
let p = projection([d.X, d.Y])
return `translate(${p[0]-s/2} ${p[1]-s/2})`
})
.attr('fill', d => temp_color(d.Value))
let screen = map.append('g')
.attr('class', 'screen')
screen.append('rect')
.attr('width', w*1.2)
.attr('height', h*1.2)
.attr('x', -w*0.1)
.attr('y', -h*0.1)
.attr('class', 'screenrect')
screen
.selectAll(".subunit")
.data(provinces.features)
.enter()
.append("path")
.attr("class", "subunit")
.attr("d", path)
map
.append('path')
.datum(topojson.merge(italy, italy.objects.subunits.geometries))
.attr("d", path)
.attr("class", "italy")
map
.append('path')
.datum(topojson.mesh(italy, italy.objects.subunits, (a,b) => a !== b && usu.get(a.id).codice_regione == usu.get(b.id).codice_regione))
.attr("d", path)
.attr("class", "subunits_borders")
map
.append('path')
.datum(topojson.mesh(italy, italy.objects.subunits, (a,b) => a !== b && usu.get(a.id).codice_regione != usu.get(b.id).codice_regione))
.attr("d", path)
.attr("class", "units_borders")
/*
map
.selectAll('.bubble')
.data(provinces.features)
.enter()
.append('g')
.attr('transform', d => {
let point = projection([usu.get(d.id).long, usu.get(d.id).lat])
return `translate(${point[0]} ${point[1]})`
})
.append('circle')
.attr('r', d => Math.random()*5)
.attr("class", "bubble")
*/
// zoom
function zoomed() {
map.attr('transform', d3.event.transform)
map.selectAll('.bubble').attr('transform', `scale(${1/d3.event.transform.k})`)
}
svg.call(d3.zoom()
.scaleExtent([0, Infinity])
.on('zoom', zoomed))
return svg.node()
}
html`
<style>
.italy {
fill: none;
stroke: #222;
stroke-width: 0.5;
vector-effect: non-scaling-stroke;
}
.subunit {
fill: #777;
}
.subunits_borders {
fill: none;
stroke: #999;
stroke-width: 0.5;
vector-effect: non-scaling-stroke;
mix-blend-mode: multiply;
}
.screen {
mix-blend-mode: screen;
}
.screenrect {
fill: white;
}
.units_borders {
fill: none;
stroke: #222;
stroke-width: 0.5;
vector-effect: non-scaling-stroke;
mix-blend-mode: multiply;
}
.bubble {
fill: black;
fill-opacity: 0.2;
stroke: black;
stroke-width: 0.75;
vector-effect: non-scaling-stroke;
pointer-events: none;
}
</style>
`
temp_color = d3.scaleLinear()
.domain([-10,0,15,20])
.range([d3.hcl(290,70,15),d3.hcl(230,70,45),d3.hcl(80,70,75),d3.hcl(10,70,45)])
.interpolate(d3.interpolateHcl)
weather_data = d3.csvParse(await FileAttachment("Temperatura_media_anno.csv").text(), d3.autoType)
units_subunits_data = d3.csvParse(await FileAttachment("units_subunits.csv").text(), d3.autoType)
usu = new Map(units_subunits_data.map(d => [d.codice_provincia, d]))
italy = FileAttachment("italy.json").json()
provinces = topojson.feature(italy, italy.objects.subunits)
projection = d3.geoAzimuthalEqualArea() // Lambert equal-area
.rotate([-9, -53]) // centered in Germany
.fitExtent([[0, 0], [w, h]], provinces)
path = d3.geoPath().projection(projection)
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.