maxHR = 180
minHR = 48
alt_extent = {
const t = hr_route_dt.rollup({
minAlt: d => op.min(d.alt),
maxAlt: d => op.max(d.alt)
});
return [t.get("minAlt", 0), t.get("maxAlt", 0)];
}
zcolors = [z1_color, z2_color, z3_color, z4_color, z5_color]
localFileContent
json_data
function jdist(lat1, lon1, lat2, lon2) {
// const orig = t.slice(0, 1).objects()[0];
// const dest = t.slice(1, 2).objects()[0];
const R = 6385e3; // metres
const φ1 = (lat1 * Math.PI) / 180; // φ, λ in radians
const φ2 = (lat2 * Math.PI) / 180;
const Δφ = ((lat2 - lat1) * Math.PI) / 180;
const Δλ = ((lon2 - lon1) * Math.PI) / 180;
const a =
Math.sin(Δφ / 2) * Math.sin(Δφ / 2) +
Math.cos(φ1) * Math.cos(φ2) * Math.sin(Δλ / 2) * Math.sin(Δλ / 2);
const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
const d = R * c; // in metres
return d; //{ φ1, φ2, Δφ, Δλ, a, c, d };
}
aq.addFunction('deltaDistance', jdist, { override: true })
route = hr_route.map(d => ({
idx: d.idx,
lat: d.lat,
lng: d.lng,
time: d.time
}))
hr_route_dt.view()
hr = hr_route.map(d => ({ idx: d.idx, hr: d.hr, time: d.time }))
// hr = json_data.features[0].[1].values.map((r, i) => ({ idx: i, time: r[0], hr: r[1] }))
{
function readFile(event) {
const inputElement = event.target;
const inputFile = inputElement.files[0];
var reader = new FileReader();
reader.onload = function(loadedEvent) {
const parsedResult = togeojson.gpx(
new DOMParser().parseFromString(inputFile, 'text/xml')
);
// const parsedResult = JSON.parse(loadedEvent.target.result);
mutable localFileContent = json_data;
};
reader.readAsText(inputFile);
}
return (window.readFile = readFile);
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
