DMP: Predicting Tree Genus from Urban Morphological Features

This is the initial Data Management Plan for the project "Predicting Tree Genus from Urban Morphological Features: A Classification Study on Vienna's Street Tree Registry", conducted as part of the Data Stewardship course at TU Wien (2026). The project investigates whether tree genus can be predicted from physical and spatial attributes using machine learning classification. The input data is the Vienna Tree Registry (Baumkataster), an open government dataset published by the City of Vienna on data.gv.at containing approximately 200,000 tree records in CSV format. Two classifiers (Random Forest, Gradient Boosting) are trained and evaluated. The DMP itself is a single PDF file following the FWF template (2022). No specific software is needed to read the DMP beyond a standard PDF viewer. The associated experiment code requires Python 3.10+ with scikit-learn, pandas, and matplotlib as documented in the project's requirements.txt.