map = Plot.plot({
width: 1080,
height: screen.height - 200,
projection,
color,
marks: [
Plot.raster(
{ length: ppt.length },
{
x: lon,
y: lat,
fill: 0,
interpolate: interpolateBivariate(n, ppt, temp),
clip: locationConfigs[location].clip
}
),
() =>
svg`<g style="transform: translate(${
locationConfigs[location].legend.x
}px,${locationConfigs[location].legend.y}px)rotate(-45deg);">${legend()}`,
Plot.geo(locationConfigs[location].clip, {
strokeWidth: 0.25,
stroke: "white"
}),
location == "Europe" ? Plot.sphere() : null
]
})
legend = () =>
Plot.plot({
color,
axis: "both",
margin: 0,
inset: 18,
width: 150,
height: 150,
y: { reverse: true },
x: {
ticks: 4
},
marks: [
// Plot.axisX({ label: "Precipitati", lineWidth: 8, marginBottom: 40 }),
Plot.cell(d3.cross(d3.range(n), d3.range(n)), {
x: ([a, b]) => a,
y: ([a, b]) => b,
fill: ([a, b]) => n * a + b,
inset: -1,
title: ([a, b]) => `Precipitation${label(a)}\nTemperature${label(b)}`
}),
Plot.text(["Precipitation →"], {
frameAnchor: "bottom-right",
fontWeight: "bold",
fontSize: "14px",
dx: -21,
dy: -3
}),
Plot.text(["← Temperature"], {
frameAnchor: "top-left",
fontWeight: "bold",
fontSize: "14px",
rotate: 90,
dx: 12,
dy: 18
})
]
})
labels = ["low", "", "", "", "high"]
label = (i) => (labels[i] ? ` (${labels[i]})` : "")
projection = locationConfigs[location].projection
function interpolateBivariate(n, v1, v2) {
const r = d3.range(n);
const s1 = d3.scaleQuantile(v1, r);
const s2 = d3.scaleQuantile(v2, r);
const interpolate = Plot.interpolatorBarycentric();
return function (I, w, h, X, Y) {
I = I.filter((i) => !isNaN(v1[i]) && !isNaN(v2[i]));
const V1 = interpolate(I, w, h, X, Y, v1);
const V2 = interpolate(I, w, h, X, Y, v2);
return Uint8Array.from(V1, (_, i) => n * s1(V1[i]) + s2(V2[i]));
};
}
color = ({
domain: d3.range(n * n),
range: d3.cross(blues, oranges).map(mixblend)
})
function mixblend([a, b]) {
a = d3.rgb(a);
b = d3.rgb(b);
const l = Math.min(250, b.r + b.g + b.b);
a.r *= b.r / l;
a.g *= b.g / l;
a.b *= b.b / l;
return a.hex();
}
countries = await FileAttachment("countries-10m.json")
.json()
.then((world) =>
topojson.feature(world, {
type: "GeometryCollection",
// Maldives has a wrong winding order.
geometries: world.objects.countries.geometries.filter(
({ properties: { name } }) => name !== "Maldives"
)
})
)
land = FileAttachment("CNTR_RG_10M_2024_4326.json")
.json()
.then((world) =>
topojson.feature(world, {
type: "GeometryCollection",
// Maldives has a wrong winding order.
geometries: world.objects.CNTR_RG_10M_2024_4326.geometries.filter(
({ properties: { name } }) => name !== "Maldives"
)
})
)
_tmax = locationConfigs[location].data.tmax.arrayBuffer().then(cdf)
_tmin = locationConfigs[location].data.tmin
.arrayBuffer()
.then(cdf)
_ppt = locationConfigs[location].data.ppt.arrayBuffer().then(cdf)
requests = {
const vars = ["ppt", "tmax", "tmin"];
const URLS = [];
const boxes = {
UK: {
LAT_MIN: 49.674,
LON_MIN: -14.015517,
LAT_MAX: 61.061,
LON_MAX: 2.0919117
},
Europe: {
LAT_MIN: 33,
LON_MIN: -24.2,
LAT_MAX: 71.2,
LON_MAX: 62
},
"South America": {
LAT_MIN: -55, // Southern tip
LON_MIN: -81.3, // Western tip
LAT_MAX: 13, // Northern tip
LON_MAX: -34.8 // Eastern tip
},
"continental US": {
LAT_MIN: 24.396308, // Southern tip
LON_MIN: -125, // Western tip
LAT_MAX: 49.384358, // Northern tip
LON_MAX: -66.93457 // Eastern tip
},
// -178.2,6.6,-49.0,83.3
"North America": {
LAT_MIN: 6.6,
LON_MIN: -178.2,
LAT_MAX: 83.3,
LON_MAX: -49
}
};
Object.values(boxes).forEach((o) =>
vars.forEach((v) =>
URLS.push(
`http://thredds.northwestknowledge.net:8080/thredds/ncss/agg_terraclimate_${v}_1958_CurrentYear_GLOBE.nc?var=${v}&south=${o.LAT_MIN}&north=${o.LAT_MAX}&west=${o.LON_MIN}&east=${o.LON_MAX}&disableProjSubset=on&addLatLon=true&horizStride=1&accept=netcdf`
)
)
);
return URLS;
}
//ppt_raw = await fetch(requests[0])
// how do you get observable to display a full string when it shortens it?
console.log(requests)
function cdf(buffer) {
return new netcdfjs.NetCDFReader(buffer);
}
netcdfjs = import("https://cdn.skypack.dev/netcdfjs@3.0.0?min")
Plot = require(await FileAttachment("plot.umd.js").url()) // https://github.com/observablehq/plot/pull/2243
// via: https://observablehq.com/@d3/petroff-quincuncial?collection=@d3/d3-geo-projection
d3 = require.alias({
d3: "d3@7.1.1/dist/d3.min.js",
"d3-array": "d3@7.1.1/dist/d3.min.js",
"d3-geo": "d3@7.1.1/dist/d3.min.js",
"d3-geo-projection": "d3-geo-projection@4/dist/d3-geo-projection.min.js"
})("d3", "d3-geo-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.