mishagrol/herscleum_sosnowskyi

Code for modellistribution of Heracleum Sosnowskyi

Large scale forecasting the potential distribution of Heracleum Sosnowskyi on the territory of Russia under climate change.

Source code for paper PDF

We propose a machine learning approach based on the Random Forest model for forecasting the potential distribution of Heracleum Sosnowskyi. This research aims to establish the possible habitat suitability of HS in current and future climate conditions across the territory of European part of Russia.

Installation

Clone this repository

git clone https://github.com/Disha0903/herscleum_sosnowskyi.git

Install R packages

• biomod
• spThin

Demo data

Climatic variables

Climatic variables were collected from the Worldclim database

Soil data

Soil data were downloaded from the SoilGrids database

Meta

Diana Koldasbayeva – Diana.Koldasbayeva@skoltech.ru

License

Distributed under the MIT license. See LICENSE for more information.

TO-DO list

• Weather loader from ERA5 and worldclim
• Remove лл.R file or rename
• Function to save optimal irrigation dates and volumes to txt file

Contributing

1. Fork it (https://github.com/EDSEL-skoltech/multi_objective_irrigation/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request