Public
Edited
Dec 22, 2023
1 star
Insert cell
Insert cell
Insert cell
Insert cell
viewof map = {
let container = html`<div style='height:600px;' />`;

// Give the container dimensions.
yield container;

// set the targomo client
const client = tgmCoreClient("westcentraleurope");

// Create the "map" object with the mapboxgl.Map constructor, referencing
// the container div
const mapRef = (container.value = new maplibre.Map({
container,
center: source,
zoom: 11.5,
style: client.basemaps.getGLStyleURL("Light"),
attributionControl: false
})
.addControl(new maplibre.NavigationControl())
.addControl(
new maplibre.AttributionControl({
compact: true,
customAttribution: attribution
})
));

mapRef.on("mouseenter", "hexes", function () {
mapRef.getCanvas().style.cursor = "pointer";
});

// Change it back to a pointer when it leaves.
mapRef.on("mouseleave", "hexes", function () {
mapRef.getCanvas().style.cursor = "";
});

mapRef.on("click", "hexes", function (e) {
var { lng, lat } = e.lngLat;
const time = e.features[0].properties.value;
const html = `<strong>${e.features[0].properties.pointid}</strong><br>${time} seconds`;
new maplibre.Popup().setLngLat({ lng, lat }).setHTML(html).addTo(mapRef);
});

await new Promise((resolve, reject) => {
mapRef.on("load", async () => {
mapRef.addSource("hexes", {
type: "geojson",
data: turf.featureCollection([])
});

mapRef.addLayer(
{
id: "hexes",
type: "fill",
source: "hexes",
layout: {},
paint: {
"fill-color": ["get", "color"],
"fill-opacity": 0.65,
"fill-outline-color": "rgba(0, 0, 0, 0)"
}
},
"place_other"
);

mapRef.addSource("polygon", {
type: "geojson",
data: turf.featureCollection([])
});
mapRef.addLayer(
{
id: "polygon",
type: "line",
source: "polygon",
layout: {},
paint: {
"line-color": "#FF0",
"line-width": 2.5
}
},
"place_other"
);
resolve();
});
});

invalidation.then(() => mapRef.remove());
yield container;
}
Insert cell
viewof mapMarker = {
const inp = Inputs.input({ id: "src", ...source });
const marker = new maplibre.Marker({
draggable: true
})
.setLngLat(source)
.addTo(map);

marker.on("dragend", () => {
inp.value = { id: "src", ...marker.getLngLat() };
inp.dispatchEvent(new Event("input", { bubbles: true }));
});
return inp;
}
Insert cell
Insert cell
h3IDs = {
// here we're deciding that we want transit coverage, 30 minutes (1800s), nodes (as we are aggregating with deckGL)
const multigraphOptions = {
edgeWeight: "time",
maxEdgeWeight: 1800,
multigraph: {
layer: {
type: "h3hexagon",
geometryDetailLevel: travelMode.h3 // the is the h3 resolution, pre-set based on travel mode for performance reasons
},
serialization: {
format: "json",
h3MaxBuffer: travelMode.buffer // the buffer can be used to fill in holes, pre-set based on travel mode
}
},
sources: [{ id: 1, ...mapMarker, ...{ tm: { [travelMode.value]: {} } } }]
};

// set the targomo client
const client = tgmCoreClient("westcentraleurope");
const mg = await fetch(
`https://api.targomo.com/westcentraleurope/v1/multigraph?key=${targomoKey()}`,
{
method: "POST",
headers: {
"Content-Type": "application/json"
},
body: JSON.stringify(multigraphOptions)
}
).then((response) => response.json());

return mg.data;
}
Insert cell
Insert cell
data = {
const coverage = Object.keys(h3IDs).filter((d) => h3IDs[d].w <= 1800); // the multigraph h3 type can allow a buffer to fill in gaps. This also creates cells beyond the target reachability, which we are filtering out here
return geojson2h3.h3SetToFeatureCollection(coverage, (d) => ({
pointid: d,
value: h3IDs[d].w,
color: tgmColorInterpolator(1800)(h3IDs[d].w)
}));
}
Insert cell
Insert cell
polygon = turf.multiPolygon(
h3.cellsToMultiPolygon(
Object.entries(h3IDs)
.filter((d) => d[1].w <= minutes * 60)
.map((d) => d[0]),
true
)
)
Insert cell
{
map.getSource("hexes").setData(data);
}
Insert cell
{
map.getSource("polygon").setData(polygon);
}
Insert cell
viewof travelMode = {
const modes = [
{ label: "Walk", value: "walk", h3: 11, buffer: 200 },
{ label: "Bike", value: "bike", h3: 10, buffer: 400 },
{ label: "Car", value: "car", h3: 9, buffer: 800 }
];
return Inputs.radio(modes, {
label: html`<strong>Mode of transport</strong>`,
value: modes.find((d) => d.value === "bike"),
format: (d) => d.label
});
}
Insert cell
viewof minutes = Scrubber(
Array.from({ length: 30 }).map((_, i) => i + 1),
{
alternate: true,
autoplay: false,
delay: 150,
initial: 30,
format: (d) => d + " minutes"
}
)
Insert cell
Insert cell
html`
<style>
.panel {
display: grid;
grid-template-columns: repeat(2,auto);
column-gap: 20px;
row-gap: 20px;
}
</style>`
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell

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.
Learn more