zakjan

As Robin says, visualized wind data are 100m height from surface. That's what we've selected as the most appropriate average for wind farms. GFS contains different heights that we could allow choosing from.

I admit that earth.nullschool.net and other similar sites have pioneered the visualisation style.

However, their main drawback is that they are standalone, can’t be integrated to another application (besides an iframe).

WeatherLayers is built as a tool for developers, to allow for a seamless integration to other applications and allow overlaying with custom data such as wind power plants in this case, to support end-users with understanding the data in natural context.

I'm here to answer for WeatherLayers, AMA! I'm super happy to help @robhawkes with this project.

WeatherLayers consists of two products, that can be used either together or separately:

- WeatherLayers GL is a frontend visualisation library with deck.gl layers which can be integrated with common map libraries. The library can be used either with custom self-hosted data or with WeatherLayers Cloud.

- WeatherLayers Cloud is a cloud service providing pre-processed data for visualization from common public weather data sources (NOAA, Copernicus).

Athough it’s a commercial project, there are ways to discuss a potential discount or even a free usage for a non-commercial project such as Robin’s.

Sure, there is a VM in Docker as well. I'm sorry if it wasn't clear, I'm looking for the most straightforward way. With Docker it's a single command, it helps with documenting the steps for other coworkers. It feels slow though. I'm wondering if the new way with Rosetta is going to be better in performance.

Yes, but it's a single command to run, without the need to learn the internals, if the use case is just to run the binary.

It seems overly complicated. Is there any benefit over using Docker?

Maybe I'm missing something, what are the actual commands for running a Linux x64 binary on macOS ARM?

Freelance Data Visualization Engineer / Consultant · High-performance Geospatial and Node-Link Graph Visualizations

  Location: Prague, Czech Republic
  Remote: yes
  Willing to relocate: no
  Technologies: Mapbox, Leaflet, WebGL1/2/WebGPU, QGIS, GDAL; Cytoscape, Sigma, PIXI, d3, Ogma, Keylines, yFiles, Neo4j
  Résumé/CV: https://www.linkedin.com/in/zakjancz/
  Web: https://zakjan.cz
  Email: [email protected]

Providing services: supporting open-source libraries

Freelance Data Visualization Engineer / Consultant · High-performance Geospatial and Node-Link Graph Visualizations

  Location: Prague, Czech Republic
  Remote: yes
  Willing to relocate: no
  Technologies: Mapbox, Leaflet, WebGL1/2/WebGPU, QGIS, GDAL; Cytoscape, Sigma, PIXI, d3, Ogma, Keylines, yFiles, Neo4j
  Résumé/CV: https://www.linkedin.com/in/zakjancz/
  Web: https://zakjan.cz
  Email: [email protected]

Providing services: sponsored development of open-source frontend libraries or plugins

Freelance Data Visualization Engineer / Consultant · High-performance Geospatial and Node-Link Graph Visualizations

  Location: Prague, Czech Republic
  Remote: yes
  Willing to relocate: no
  Technologies: Mapbox, Leaflet, WebGL1/2/WebGPU, QGIS, GDAL; Cytoscape, Sigma, PIXI, d3, Ogma, Keylines, yFiles, Neo4j
  Résumé/CV: https://www.linkedin.com/in/zakjancz/
  Web: https://zakjan.cz
  Email: [email protected]

Providing services: sponsored development of open-source frontend libraries or plugins

Freelance Data Visualization Engineer / Consultant · High-performance Geospatial and Node-Link Graph Visualizations

  Location: Prague, Czech Republic
  Remote: yes
  Willing to relocate: no
  Technologies: Mapbox, Leaflet, WebGL1/2/WebGPU, QGIS, GDAL; Cytoscape, Sigma, PIXI, d3, Ogma, Keylines, yFiles, Neo4j
  Résumé/CV: https://www.linkedin.com/in/zakjancz/
  Email: [email protected]