Jupyter Notebook for threshold detection and ecological zoning using the Priority Index framework

This repository contains the Python Jupyter Notebook (.ipynb) scripts used in the study:“A nonlinear threshold-based study on ecological zoning for water conservation in Guangdong Province, China.”The notebooks implement the main analytical workflow of the study, including:machine-learning–based threshold detectioncalculation of the Priority Index (PI)spatial ecological zoning based on threshold responsessupporting data preprocessing and visualizationThe code is provided to improve transparency and reproducibility of the proposed threshold-based ecological zoning framework.All input datasets used in the study are publicly available and their sources are summarized in Table 1 of the manuscript. These include datasets from:China Meteorological Data Service CenterNational Earth System Science Data CenterNASA EarthDataResource and Environment Science and Data CenterThe scripts can be adapted for similar ecosystem service assessments and spatial ecological zoning studies.