suncalc VS maplibre-gl-js

A really simple, small package to manage React context around color scheme toggling. Specifically, you can switch color scheme manually or automatically, and if the latter you can follow either the system color scheme or the sun.

I based some of this code heavily on a couple Mantine (https://mantine.dev/) hooks and Suncalc (https://github.com/mourner/suncalc), but modified them to either make them simpler and/or, in Suncalc's case, typed.

This is my first open-source package in a while, so I'd greatly appreciate any constructive suggestions! I have been using some form of this in my own projects and figured, when I added it to the most recent one, I should just extract it into its own project. I'm hoping something small like this will motivate me to do more open-source work because I miss it!

It would be fun to see this with local daylight hours mapped to the squares, so I could get a feel for where my consumption is at within "daylight" vs the whole "day"

SunCalc is a good tool for this, if you're interested: https://github.com/mourner/suncalc

(I've used it on a personal project, and the API was a little awkward but the results are good: https://daylight.website/)

If you want to do some coding for your website, here is the ready-made javascript for calculating what you want about Sun and Moon: Sun and Moon almanac

tool: d3.js data: SunCalc the inspiration came from these sunrise and sunset visualizations

Recently I have made a library doing this for myself. Basicly, I re-wrote this Javascript library in C++ for use with microcontrollers: https://github.com/mourner/suncalc

you need a bit of IT skills wth https://github.com/mourner/suncalc

I ignore the sunrise/set properties of the Hue bridge. All the calculations are done on the board itself, so it doesn't need an internet connection to keep working. I used the javascript code here https://github.com/mourner/suncalc as a starting point and translated it to c++ to run on an microcontroller.

Suncalc [1] is the library I use to calculate the position of the sun. Mapzen [2] host public elevation tile data. This blog post [3] is a good overview of the calculations involved.

[1] https://github.com/mourner/suncalc

[2] https://www.mapzen.com/blog/terrain-tile-service/

[3] http://www.liedman.net/2014/06/25/sunshine/

(.shp .gpkg ...) | ogr2ogr -> .geojson | tippecanoe -> .pmtiles

for OpenStreetMap data there's planetiler[4], and and openmaptiles[5] styles that work with Maplibre

with those combinations you've got a great start to something you can host for pennies on AWS S3+CloudFront or Cloudflare R2, with an open source data pipeline

[1] https://maplibre.org/

MapLibre GL JS v3.3.1

Does anyone else have a solution for the satellite layer? I was using MapLibre [0] then needed direct-on-the-ground images which made me convert to Google Maps.

[0] https://maplibre.org/

When using the Amazon Location Service, I recommend MapLibre GL JS, which I introduced in my previous article, "Amazon Location Service and AWS Amplify to Use Various Map Library," but you can also use any map library you like, including iTowns this time. I hope you will choose the map library of your choice, including iTowns!

Your browser has a very powerful image decoder built into it, offloading the PNG decoding into Javascript is very resource hungry.

Using maplibre (or any map viewer) you can load blobs of image data out of a tiff and use `Image` or `Canvas` to render the data onto a map.

Its even easier if the tiffs are already Cloud optimized as they perfectly align to a 1-to-1 map tile and they don't need to be rescaled, you can then just render the images onto the map. eg here is a viewer that loads webps out of a 15GB tiff and uses Canvas to render them onto a map [1]

Unless you are trying to layer all your maps together, you also could stop reprojecting them into webmercator, or if your goal is to layer them, then storing them in webmercator would save a ton of user's compute time.

There are a bunch of us that talk web maping and imagery in the #maplibre and #imagery slack channels in OSMUS's slack [2]

[1] https://blayne.chard.com/cogeotiff-web/index.html?view=cog&i...

[2] https://github.com/maplibre/maplibre-gl-js#getting-involved

The map is rendered by https://maplibre.org/, you can see how it is used here https://github.com/anvaka/map-of-github

Kudos to https://maplibre.org/ - amazing library