OnSSET Installation Guidelines - Step 2 Installing the model скачать в хорошем качестве

OnSSET Installation Guidelines - Step 2 Installing the model

Set up a Virtual Environment It's like a separate "folder" for Python that keeps OnSSET and its dependencies organized and prevents conflicts with other software. In Windows create a folder, for example : c:\onsset_project Open the terminal or Command Prompt and navigate to the folder: cd\ cd onsset_project Create the virtual environment: python -m venv onsset_env Activate the virtual environment: Windows: onsset_env\Scripts\activate macOS/Linux: source onsset_env/bin/activate Install OnSSET from GitHub To install OnSSET directly from the source code, you need to install Python first, as described in Step 1. If you followed the above procedure, you should have Git already installed. If Git is not available, you can download Git from https://gitscm.com/downloads and follow the installation instructions. You can clone it using the following Git command in your command prompt or terminal: pip install setuptools wheel setuptools-scm git clone https://github.com/onsset/onsset.git Alternatively, you can download the OnSSET repository from GitHub, visit https://github.com/OnSSET/onsset. You can click the green "Code" button and select "Download ZIP" to get the repository as a ZIP file, that you can expand for example directly on the C:\OnSSET folder. Once the repository is downloaded or cloned, navigate to the OnSSET folder in your terminal. For example: cd / cd onsset Finally, to install OnSSET, run the following command from within the OnSSET folder: pip install -e . (please note that the full stop character "." is part of the instruction) Verify if the software is installed: pip show onsset The above procedure will install OnSSET itself from the official Python software repository. The libraries required by the software should be installed already in you onset_env/Lib directory. To verify that the required libraries are installed or reinstall the missing libraries you can type the following commands one by one and press Enter: pip install numpy pandas geopandas matplotlib scikit-learn The command will install numpy, pandas, geopandas, matplotlib, and scikit-learn – tools that OnSSET needs to run. Installing QGIS and the OnSSET Plugins OnSSET is dependent on GIS software like QGIS or ArcGIS to organize and manage spatial data. You can download and install the supported version of QGIS from: https://www.qgis.org/download/ After installing QGIS, you will also need to download two OnSSET plugins, which help integrate QGIS with the OnSSET Python code for spatial analysis. Population cluster: https://github.com/OnSSET/PopCluster/... GEP Plugin: https://github.com/OnSSET/Clusterbase... To install the OnSSET plugin in QGIS, download the plug-ins as zip files. Then open the QGIS application and navigate to the Plugins menu. From the menu, choose Manage and Install Plugins. In the Plugin Manager, select Install from Zip, browse hrsl_clustering.zip and then Install Plugin. Repeat the procedure for the gep_onsset.zip file. The plugins will allow you to prepare the input files directly within QGIS. The OnSSET plugin for QGIS facilitates the creation of input files in the form of CSVs, which are required for running the model. This plugin integrates GIS data such as population density, grid infrastructure, and renewable energy resources, and generates the appropriate input files for OnSSET.