turf VS OpenLayers3

to measure distances and convert between our parameters I'm using TurfJS, for which binding is even more trivial:

Turf.js is an open-source geospatial analysis library that can process various location data, such as the center of gravity and distance calculations.

Isochrones are manually calculated using turf.js assuming 1.2m/s walking speed after the subway trip. These are simple buffers around each station/prior isochrone and do not take the street network into account.

Not to take away from you learning, which I think is awesome, I was wondering if you know about http://turfjs.org/ which provides a lot of simple modules … and is surprisingly hard to find. Their `distance` modules may be relevant in this case.

you can use client side libraries like Turfjs to do buffers https://github.com/Turfjs/turf/tree/master/packages/turf-buffer

Tools: custom Javascript (with heavy use of turf.js) for data processing and creating the 3D model, Blender, 3D printing, lost wax casting

I've integrated https://turfjs.org/ with mapbox before and it was pretty fun

References Amazon Location Service Turf.js MapLibre GL JS Leaflet OpenLayers Cesium Mapbox GL JS

You probably know this, but in Google Maps at least, you can use browser zoom (ctrl/cmd +/-) to change the size of labels without zooming into the actual map.

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Speaking of maps, I got to work a fun zoom project a few years ago: https://map.fieldmuseum.org/

We used https://openlayers.org/ and thought long and hard about how to best handle zooming and variable levels of information density & visual hierarchy. If you zoom all the way out, we just highlight where the building is relative to the surroundings. As you start to zoom in, we start to highlight major exhibitions and entrances. Then as you zoom in more, we start showing recommended paths, smaller exhibitions, etc. The label sizes try to scale up and down at each level, smoothly, in order to balance readability and density.

Eventually you can reach the max zoom level and the labels will just grow bigger and bigger, but the SVGs dynamically shrink so they remain pictograms and not just contextless-lines.

Then if you keep going, you eventually find microscopic easter eggs :)

The code is pretty jank (and abandoned), but it's FOSS vanilla JS/HTML/CSS, and the only dependency is on OpenLayers: https://github.com/arcataroger/openlayers_indoor_map

In order to display the GeoJSON features on a map, we will use OpenLayers, which is a very powerful open-source mapping library that is also very simple to use.

OpenLayers is available via the ol npm package, offering developers a powerful toolkit for creating sophisticated maps. Here is a JavaScript implementation that utilizes OpenLayers to showcase a map:

Official Website: https://openlayers.org/

For web maps I'd strongly recommend using OpenLayers. While it's less convenient to get started with compared to the alternatives it's also much more feature-complete and you'll likely hit a ceiling in terms of functionality much later than you would with the others.