This project uses a database of fluid dynamics simulation results for the City of Toronto and a weather API to predict real-time, historical, and forecast wind conditions along a drone flight path. The code is written in Matlab and the main application is called windApp.mlapp. The application draws on a database of CSV files which is over 5TB so I have not shared it in this repository. It can be found at the following drive link: https://drive.google.com/drive/u/6/folders/1lhvwuJwRlks-QiVIZxTArjR8LeRnPsE8
-
Notifications
You must be signed in to change notification settings - Fork 0
This project uses a database of fluid dynamics simulation results for the City of Toronto and a weather API to predict real-time, historical, and forecast wind conditions along a drone flight path
mikeg5/toronto-wind-speed-predictions
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This project uses a database of fluid dynamics simulation results for the City of Toronto and a weather API to predict real-time, historical, and forecast wind conditions along a drone flight path
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published