Data Analysis Unit

The Data Analysis Unit provides the rigorous statistical backbone for ecological research, monitoring, and high-stakes decision-making. We specialize in transforming complex, multi-scale environmental data into defensible insights that bridge the gap between field ecology and conservation policy. 

Our expertise lies in reproducible data science. By integrating long-term monitoring with remote sensing and advanced spatial modeling, we help partners navigate the challenges of climate sensitivity, population dynamics, and landscape-scale change. We don't just process data; we provide the clarity needed for adaptive management. 

The analysis team collaborates with the National Park Service Inventory and Monitoring (I&M) Division to design and implement data analysis plans for long term monitoring datasets. The team offers recommendations to NPS I&M on interpreting results and translating them into management strategies that support conservation decision making in and around national parks and protected areas. 

 

 

 

 

 

 

 

 

 

 

 

 

Technical Specifications & Expertise

 

 

 

Reproducible Workflows

End-to-end R-based pipelines featuring automated model diagnostics, version-controlled analysis, and publication-ready visualization. 

 

Spatial analysis & GIS

Seamless integration of GIS and remote sensing datasets, spatial autocorrelation modeling, and the development of custom topographic metrics. 

 

Synthesis & Decision Support

Translating technical statistical outputs into actionable management insights for long-term conservation programs.

 

Advanced Statistical Modeling

Mixed-effects modeling for ecological count and monitoring data (GLMMs, spatial LME); Occupancy, abundance, and long-term trend analysis; Quantifying climate, elevation, and landscape effects on biological populations. 

 

Climate Sensitivity Analysis

Working with climate and environmental datasets to understand ecological patterns; Linking climate variability to biological responses; Integration of gridded climate products (e.g., gridMET, AρρEEARS) with monitoring data. 

 

Our Team

Looking to collaborate on data analysis, statistical modeling, or spatial projects?

Our unit lead, Tom, is the best point of contact. We're always glad to discuss ideas, collaborations, or project support.

Tom Rodhouse, Ph.D. 
Unit Lead - Contact Tom
Kaniz Farzana, Ph.D. 
Research Analyst
Laura McMahon, M.S. 
Research Analyst 
Corrinne Dombrowski, M.S.
Research Analyst