Data and code for "Mapping and conservation analysis of upper montane evergreen broad-leaved forest using machine learning and geodata"

Data and code supporting the manuscript "Mapping and conservation analysis of upper montane evergreen broad-leaved forest using machine learning and geodata". The deposit includes the final UMEBLF presence and pseudo-absence records, environmental predictor data, future climate data, cloud-fog belt data, Python analysis scripts, the trained Random Forest model, and derived results used in the study. Detailed metadata and reproduction instructions are provided in README.txt.