https://github.com/novvum/vayuh-sample

https://github.com/novvum/vayuh-sample

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• Host: GitHub
• URL: https://github.com/novvum/vayuh-sample
• Owner: Novvum
• Created: 2023-09-24T17:04:10.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-09-24T17:23:46.000Z (over 1 year ago)
• Last Synced: 2024-11-19T23:57:33.471Z (2 months ago)
• Language: Python
• Size: 544 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Few assumptions/things to keep in mind - 

1. As I see on the (https://vayuh-web-app.web.app/) there are grids on the US map which match to a temperature value (using a color scale); but the granularity of the data you send us was much smaller, so the values are scattered on the map. If I increase the  rectangle grid size and then that gives a much better picture. Or alternatively we can calculate the temperature with the nearest neighbour. So that is based on the use case we are targeting. So I have't done all those for now, but can be easily achieved. 

2. Since it was Lat/longitude values, I have taken the mean of the temperature value which falls on that particular grid in the map.

3. The US map coordinates I am using does take in some water bodies as well, so the map is a little spilling in those areas. Can be resolved easily with a better US geoJSON file.

4. I am using Leaflet.js for rendering the map, but we can definitely use MapboxGL (as you are doing in your webapp)

5. I am currently converting the hdf5 files into geoJSON files because that serves best for the web. I am using a python script (h5py, Geopandas) for reading h5 file, creating grid polygons and clipping on the US map.

6. I just put together this in a couple of hours, so I haven't run it through code quality, performance or browser compatibility.