An open source Python library for environmental isotopic modelling

Keyphrases

• Isotopic Study 100%
• Isotopic Composition 100%
• Open-source Python Library 100%
• Isotopic Modeling 100%
• Chile 50%
• Statistical Analysis 50%
• Environmental Studies 50%
• Environmental Field 50%
• Outlier Detection 50%
• Model Calibration 50%
• Machine Learning Algorithms 50%
• Data Preprocessing 50%
• Model Validation 50%
• Stable Water Isotopes 50%
• Decision-making Method 50%
• Reproducible Research 50%
• Meteorological Characteristics 50%
• Composition Modeling 50%
• Discontinuous Input 50%
• Open Source Foundations 50%
• Feature Selection Models 50%
• Isotopic Composition of Precipitation 50%
• Automated Decision-making 50%
• Feature Composition 50%

Earth and Planetary Sciences

• Isotopic Composition 100%
• Environmental Study 33%
• Machine Learning 33%
• Model Validation 33%
• Water Isotopes 33%
• Chile 33%
• Decision Making 33%