Published
Edited
Dec 12, 2020
2 forks
17 stars
{
let container = html`<div style='height:500px;' />`;
yield container;
let map = new mapboxgl.Map({
container,
center: [139.141, 35.444],
zoom: 17,
pitch: 80,
bearing: -100,
style: "mapbox://styles/mapbox-map-design/ckhqrf2tz0dt119ny6azh975y",
scrollZoom: true
});
map.addControl(new mapboxgl.NavigationControl(), "top-right");
map.on('load', function () {
map.addSource('mapbox-dem', {
'type': 'raster-dem',
'url': 'mapbox://mapbox.mapbox-terrain-dem-v1',
'tileSize': 512,
'maxzoom': 14
});
// add the DEM source as a terrain layer with exaggerated height
map.setTerrain({ 'source': 'mapbox-dem', 'exaggeration': 1 });
// add a sky layer that will show when the map is highly pitched
map.addLayer({
'id': 'sky',
'type': 'sky',
'paint': {
'sky-type': 'atmosphere',
'sky-atmosphere-sun': [0.0, 0.0],
'sky-atmosphere-sun-intensity': 15
}
});
});
invalidation.then(() => map.remove());
}
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.