{"id":25817317,"url":"https://github.com/landscapegeoinformatics/agile2024_rf_interpretability","last_synced_at":"2026-04-20T18:32:47.135Z","repository":{"id":241286597,"uuid":"794922772","full_name":"LandscapeGeoinformatics/agile2024_rf_interpretability","owner":"LandscapeGeoinformatics","description":"Workshop materials for AGILE 2024 conference","archived":false,"fork":false,"pushed_at":"2024-06-20T12:48:32.000Z","size":54011,"stargazers_count":1,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-28T12:47:06.002Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Forest\n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17850704.svg)](https://doi.org/10.5281/zenodo.17850704)\n\nMaterials for the AGILE 2024 conference workshop in Glasgow, UK **Spatial modelling and interpretability with Random Forest**.\n\n**Workshop time:** 6th of June, at 4pm to 6pm Room 101@SCW\n\nContributions from the following authors from [Landscape Geoinformatics Lab](https://landscape-geoinformatics.ut.ee/):\n- Marta Jemeljanova \u003ca href=\"https://orcid.org/0000-0002-7063-2236\"\u003e\u003cimg src=\"orcid_icon.png\" width=\"12px\" height=\"12px\" /\u003e\u003c/a\u003e\n- Holger Virro \u003ca href=\"https://orcid.org/0000-0001-6110-5453\"\u003e\u003cimg src=\"orcid_icon.png\" width=\"12px\" height=\"12px\" /\u003e\u003c/a\u003e\n- Wai Tik Chan \u003ca href=\"https://orcid.org/0009-0005-3779-139X\"\u003e\u003cimg src=\"orcid_icon.png\" width=\"12px\" height=\"12px\" /\u003e\u003c/a\u003e\n- Alexander Kmoch \u003ca href=\"https://orcid.org/0000-0003-4386-4450\"\u003e\u003cimg src=\"orcid_icon.png\" width=\"12px\" height=\"12px\" /\u003e\u003c/a\u003e\n- Evelyn Uuemaa \u003ca href=\"https://orcid.org/0000-0002-0782-6740\"\u003e\u003cimg src=\"orcid_icon.png\" width=\"12px\" height=\"12px\" /\u003e\u003c/a\u003e\n\nTo follow the workshop, you need **a Google account to use the Colab**.\n\n## Access the Workshop notebook from Colab\n\n1. Open https://colab.research.google.com/ from your favourite browser, and then you will be redirected to the Colab environment provided by Google; please sign in if needed.\n   \n\u003cimg  src=\"./image/image-20240527135055489.png\" alt=\"Colab\" width=\"10000\" height=\"400\" /\u003e\n   \n   #### (Optional) Change display language of Colab from non-English to English display \n\n   If you find that your Colab environment isn't displayed in English (ex., menu bar display) and you want to change it to follow the instructions below, you can change the display language by clicking on the Help menu. There is an option to change the display language to English. The following screenshot shows an \n   example in Estonian.\n   \n   \u003cimg src=\"https://github.com/LandscapeGeoinformatics/agile2024_rf_interpretability/assets/62494108/d39428f2-2ca4-408e-810b-66dffb3bb2e9\" width=\"600\" height=\"250\"\u003e\n\n\n2. From the Menu bar, click on File \u003e open notebook.\n\n   \u003cimg  src=\"./image/image-20240527135319379.png\" alt=\"opennotebook\" width=\"350\" height=\"400\"/\u003e\n\n   \n\n3. Inside the open notebook dialogue:\n\n   -  Click on GitHub on the left panel\n\n   - Copy and paste the following url into the Search notebooks text box, and press Enter.\n\n      https://github.com/LandscapeGeoinformatics/agile2024_rf_interpretability\n\n   - Then, you will see the notebook for this workshop, which is listed below.\n     \n\n   - Click on the notebook named **workshop_materials/colab_agile2024_rf_interpretability.ipynb**\n\n     \n\n   \u003cimg  src=\"./image/open_notebook.png\" alt=\"open_notebook\"  width=\"600\" height=\"500\"/\u003e\n\n\n4. **(Important) After the notebook is opened, Click on File \u003e Save a copy in Drive**\n\n   It will make a copy of the notebook into your own Google Drive which you can access later when needed.\n\n   \u003cimg  src=\"./image/image-20240527141722810.png\" alt=\"image-20240527141722810\"  width=\"1000\" height=\"400\"/\u003e\n\n   \n\n5. You can verify if the notebook is a copied version by the name. It should start with \"Copy of\"\n\n   \u003cimg src=\"./image/image-20240527142222018.png\" alt=\"image-20240527142222018\" width=\"1000\" height=\"250\" /\u003e\n\n\n## Access the notebook from the local machine\n\n- Environment prerequisite\n  - conda: https://conda.io/projects/conda/en/latest/user-guide/install/index.html\n  - python3.12+ (it should be installed through conda as well)\n\n1. Clone the repository from LandscapGeoinformatics's Github \n\n   a. Open the link https://github.com/LandscapeGeoinformatics/agile2024_rf_interpretability from the browser\n\n   b. Click on Code, then Click on Download ZIP  (ex:  download to C:\\Users\\\\\u003cProfile name\\\u003e for window)\n\n   \u003cimg src=\"./image/donwloadcode.png\" alt=\"image-20240527152543498\" width=\"800\" heigh=\"600\" /\u003e\n\n   c. Unzip the downloaded file to any directory you prefer (ex: C:\\Users\\\\\u003cProfile name\\\u003e\\Agile2024_RF for window))\n\n   \n\n2. Open a command line terminal, then change the directory to the unzipped dir. \n\n   ```bat\n   cd C:\\Users\\\u003cProfile name\u003e\\Agile2024_RF\n   ```\n\n3. Then change the directory to workshop_materials\n\n   ```batch\n   cd workshop_materials\n   ```\n\n4. Create a new virtual environment with library dependencies from the requirement file with the following command :\n\n   ```bat\n   :: The default environment name is agile2024, but if you want to change it to other's , pass additioanl param -n \u003cfavour_name\u003e\n   conda env create -f conda_environment.yml\n   ```\n\n5. After the environment is created, activate the environment by the following command:\n\n   ```bat\n   conda activate agile2024\n   :: or\n   conda activate \u003cfavour_name\u003e\n   ```\n\n6. Start up jupyter-lab\n\n   ```bat\n   jupyter-lab\n   ```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flandscapegeoinformatics%2Fagile2024_rf_interpretability","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flandscapegeoinformatics%2Fagile2024_rf_interpretability","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flandscapegeoinformatics%2Fagile2024_rf_interpretability/lists"}