Maps — and other representations of the world.
zip = FileAttachment("GHS_STAT_UCDB2015MT_GLOBE_R2019A_V1_2.csv.zip").zip() // unzip
csv = zip.file("GHS_STAT_UCDB2015MT_GLOBE_R2019A_V1_2.csv").csv({ typed: true })
db = {
const table = "stat";
const db = await SQLiteDatabaseClient.open(null);
const columns = csv.columns || Object.keys(csv[0]);
// create a table
await db.query(`CREATE TABLE ${table}(${columns})`);
// fill it with our data; thanks, Annie Zhang!
for (const d of csv)
await db.query(
`INSERT INTO ${table} VALUES (${Array.from(
Object.values(d),
JSON.stringify
)});`
);
return db;
}
Plot.carto({
marks: [
Plot.feature({ type: "Sphere" }),
Plot.points(await db.query("SELECT * FROM stat LIMIT 2000"), {
lonLat: (d) => [d.GCPNT_LON, d.GCPNT_LAT],
fill: (d) => d.E_EC2O_R15 / d.P15
})
],
width,
color: { type: "sqrt", scheme: "reds" },
height: width * 0.5
})
climate = Plot.carto({
rotate: [-10, 0],
marks: [
Plot.feature({ type: "Sphere" }),
Plot.feature(land, { strokeWidth: 0.25 }),
Plot.points(
await db.query(
"SELECT * FROM stat WHERE E_KG_NM_LST<>'NAN' ORDER BY P15 DESC LIMIT 8000"
),
{
lonLat: (d) => [d.GCPNT_LON, d.GCPNT_LAT],
fill: (d) =>
d["E_KG_NM_LST"]
.replace(/Snow.*/, "Snow")
.replace(/,/g, "")
.split(/ /g)
.slice(0, 2)
.join(" "),
stroke: "white",
strokeWidth: 0.4,
title: "UC_NM_MN", // city name
r: "P15"
}
)
],
width,
height: width * 0.5,
color: { scheme: "category10", legend: true },
r: { type: "pow", exponent: 0.333, range: [0, 10] }
})
Plot.carto({
projection: "bertin1953",
marks: [
Plot.feature({ type: "Sphere" }),
Plot.feature(land, { strokeWidth: 0.25 }),
Plot.points([].concat(increase, decrease), {
lonLat: (d) => [d.GCPNT_LON, d.GCPNT_LAT],
fill: (d) => d.rate > 1,
stroke: "white",
strokeWidth: 0.4,
title: "UC_NM_MN", // city name
r: "P15",
fillOpacity: 0.5,
sort: "P15"
})
],
color: { scheme: "rdbu" },
width,
height: width * 0.65
})
// Plot.carto is an experimental plugin for Observable Plot
import { Plot, land } from "@fil/plot-carto-0-4"
query = (value) => qq(db, { value, width })
// qq = quick query
qq = (db, { describe = false, prompt = "db>", ...options } = {}) => {
const t = Inputs.text({ label: prompt, ...options });
d3.select(t).style("margin-bottom", "7px");
const d = d3.create("div");
const desc = d3.create("div");
const err = d3
.create("div")
.style("font-family", "sans-serif")
.style("font-size", "10px")
.style("color", "brown");
if (describe)
db.describe()
.then((description) => {
err.html("");
desc.html("").append(() => description);
})
.catch((e) => err.html(e));
if (options.value != null) run_query(options.value);
t.addEventListener("input", async () => {
if (t.value === "") err.html("");
else run_query(t.value);
});
const a = html`<div>${t}${d.node()}${err.node()}${desc.node()}</div>`;
return a;
function run_query(q) {
db.query(q)
.then((data) => {
err.html("");
d.html("").append(() => Inputs.table(data));
a.value = data;
a.dispatchEvent(new CustomEvent("input"));
})
.catch((e) => err.html(e));
}
}
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