MBA Candidate at Columbia, Software Engineer, Former Managing Web Editor @ The Michigan Daily. Building things I can see.
Public
Edited
Nov 14, 2023
Paused
1 fork
9 stars
localizedData
X
lon
Y
lat
Color
datetime
Size
magnitude
Facet X
—
Facet Y
—
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.
cleanData
X
datetime
Y
mean
magnitude
Color
—
Size
—
Facet X
—
Facet Y
—
Mark
line
Type Chart, then Shift-Enter. Ctrl-space for more options.
directionLabelMap = (angle) => {
const label = (a, b) =>
`← ${a} ${b} →`;
if (angle < 0 + 45 / 2) {
return label("SOUTH", "NORTH");
}
if (angle < 0 + (45 / 2) * 3) {
return label("SOUTHWEST", "NORTHEAST");
}
if (angle < 90 + 45 / 2) {
return label("WEST", "EAST");
}
if (angle < 90 + (45 / 2) * 3) {
return label("NORTHWEST", "SOUTHEAST");
}
if (angle < 180 + 45 / 2) {
return label("NORTH", "SOUTH");
}
if (angle < 180 + (45 / 2) * 3) {
return label("NORTHEAST", "SOUTHWEST");
}
if (angle < 270 + 45 / 2) {
return label("EAST", "WEST");
}
if (angle < 270 + (45 / 2) * 3) {
return label("SOUTHEAST", "NORTHWEST");
}
return label("SOUTH", "NORTH");
}
function projectOntoAxis(latitude, longitude) {
// Convert the angle to radians
const angleRadians = (angle * Math.PI) / 180;
// Calculate the slope of the line
const slope = Math.tan(angleRadians);
// Assuming the line passes through the origin (0,0),
// calculate the x-coordinate of the projection point
const xProjection = (latitude + slope * longitude) / (1 + slope * slope);
// Calculate the y-coordinate of the projection point
const yProjection = slope * xProjection;
// Calculate the value along the axis (distance from the origin)
const valueAlongAxis = Math.sqrt(
xProjection * xProjection + yProjection * yProjection
);
return valueAlongAxis;
}
update = {
const oldKeys = this || new Set();
const newKeys = new Set(
[...timeGeoJSONLayer.keys()].filter((k) => k < scrubTime1)
);
let leaving = [...oldKeys].filter((x) => !newKeys.has(x));
let entering = [...newKeys].filter((x) => !oldKeys.has(x));
leaving.forEach((k) =>
timeGeoJSONLayer.get(k).setStyle({ opacity: 0, fillOpacity: 0 })
);
entering.forEach((k) =>
timeGeoJSONLayer.get(k).setStyle({ opacity: 1, fillOpacity: 0.2 })
);
return newKeys;
}
initialize = {
[...timeGeoJSONLayer.entries()].forEach(([k, v]) =>
v.addTo(map).setStyle({ opacity: 0, fillOpacity: 0 })
);
}
timeGeoJSONLayer = new Map(
[...timeGeoJSONData].map(([k, v]) => [
k,
L.geoJSON(
d3.sort(v, (d) => d.magnitude),
{
pointToLayer: (feature, latlng) =>
L.circleMarker(latlng, {
// fill: false,
radius: eqRadius(feature.magnitude),
weight: 0.5,
color: depthScale(feature.depth)
}).bindPopup(
`Time: ${feature.datetime.toISOString()}
<br>
Magnitude: ${feature.magnitude}
<br>
Depth: ${feature.depth}`
)
}
)
])
)
depthScale = d3.scaleSequentialSymlog(
[
d3.quantile(cleanData, 0.25, (d) => d.depth),
d3.quantile(cleanData, 0.75, (d) => d.depth)
],
d3.interpolateRdYlBu
)
eqRadius = (magnitude) => {
return Math.sqrt(2 ** (1.5 * magnitude));
}
timeGeoJSONData = new Map(
[...timeData].map(([k, v]) => [
k,
v.map((d) => ({
type: "Point",
coordinates: [d.lon, d.lat],
...d
}))
])
)
timeData = new Map(
timeIntervals.map((d) => [
d,
cleanData.filter((t) => t.datetime < d && t.datetime > d - timeIntervalMS)
])
)
timeIntervals = d3.range(timeExtent[0], timeExtent[1], timeIntervalMS)
timeExtent = d3.extent(cleanData, (d) => d.datetime)
timeIntervalMS = 1000 * 60 * 6
smallScreen = width < 800
width
cleanData
Type Table, then Shift-Enter. Ctrl-space for more options.
data
Type Table, then Shift-Enter. Ctrl-space for more options.
Icelandic Earthquakes.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
import { isMobile } from "@flimsyhat/mobile-device-check"
import { Scrubber } from "@mbostock/scrubber"
import { footer } from "@rlesser/footer"
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