AMModels

AMModels stores and organizes statistical models and associated datasets as unified R objects to codify knowledge for adaptive management and reproducible analyses.

Key Features:

• Unified storage: Stores models, associated datasets, and metadata together as a single object that can be saved to an .RData file.
• Model management: Systematically organizes analysis inputs, outputs, and descriptive metadata to preserve analytical components and enable revisiting and refining analyses.
• Adaptive management support: Codifies knowledge in model form to enable storage, retrieval, augmentation, and tracking of changes over time for adaptive management workflows.

Scientific Applications:

• Natural resource management: Supports codification and reuse of models and data for decision-making in natural resource management.
• Environmental science: Enables storage and retrieval of analytical outputs and datasets for environmental analyses and monitoring.
• Conservation biology: Facilitates iterative model-based knowledge capture and exchange for conservation planning and assessment.
• Longitudinal and iterative studies: Tracks model and data evolution over time to support longitudinal analyses and iterative analytical workflows.

Methodology:

Implemented as an R package (developed under R 3.2.2) that creates a cohesive structure integrating models, datasets, and metadata into a single object, systematically organizing inputs, outputs, and descriptive metadata and allowing the unified object to be saved to an .RData file for updates and tracking of changes over time.