Advancing our thinking in presence-only and used-available analysis

Area of Science:

• Ecology
• Statistical Modeling
• Biodiversity Informatics

Background:

• Ecological analyses often face challenges with used-available and presence-only data types.
• The equivalence between analyzing used-available and presence-only data is often overlooked.
• Existing methodologies may not fully leverage the potential of these data types.

Purpose of the Study:

• To explore the equivalence between used-available and presence-only data analysis.
• To identify opportunities for advancing analysis methodologies by bridging insights from both data types.
• To emphasize the critical role of application strategy in achieving robust analytical outcomes.

Main Methods:

• Leveraging the equivalence between used-available and presence-only data analysis.
• Applying modern statistical methods to enhance predictive performance.
• Examining the influence of application choices on analytical results through examples.

Main Results:

• The analysis of used-available and presence-only data presents equivalent challenges and opportunities.
• Methodological advances in one data type can inspire improvements in the other.
• The way a method is applied significantly impacts results, often more than the method choice itself.

Conclusions:

• Recognizing the equivalence between data types unlocks synergistic advancements in ecological and species distribution modeling.
• Strategic application of analytical methods, considering study design and data properties, is paramount for reliable results.
• Further research should focus on optimizing application strategies and developing diagnostic tools for data analysis.