RAMO

RAdiation MOnitoring

This is a simple prototype showing how to perform dynamic spatial aggregation using the H3 library in combination with MapboxGL.

Such visualization technique is one way to address the classical overplotting issue and is particularly relevant when it comes to visualizing monitored radiation level in the environment.

You can access a live demo. at the following url: http://fr.anckalbi.net/ramo

The Svelte JavaScript framework is used in the current prototyped implementation but further version will use SvelteKit.

Data source: SIMULATED DATA - ConvEx-3 (2021)

Get started

Install the dependencies...

cd ramo
npm install

...then start Rollup:

npm run dev

Navigate to localhost:8080. You should see your app running. Edit a component file in src, save it, and reload the page to see your changes.

By default, the server will only respond to requests from localhost. To allow connections from other computers, edit the sirv commands in package.json to include the option --host 0.0.0.0.

If you're using Visual Studio Code we recommend installing the official extension Svelte for VS Code. If you are using other editors you may need to install a plugin in order to get syntax highlighting and intellisense.

Building and running in production mode

To create an optimised version of the app:

npm run build

You can run the newly built app with npm run start. This uses sirv, which is included in your package.json's dependencies so that the app will work when you deploy to platforms like Heroku.

Musical reference

Rameau (pronounced Ram[o] in French): https://www.youtube.com/watch?v=2sPC8HsXxik