Data Science & Analytics

Get more from your data.

Specializing in statistical and graphical presentation of biological and environmental datasets.

Data has a story to tell. RTR’s data scientists are experts at depicting complex datasets through insightful charts, graphs, maps, and data dashboards. Our team has expertise in a variety of statistical software, geospatial software, and data science programming languages, including:

  • R-Statistics
  • SAS
  • SQL
  • SPSS
  • ArcGIS
    • Power BI
    • Power Query
    • DAX
    • Java

      Fundamental to efficient and effective use of data is the unbiased interpretation of that data, the coherent and intuitive presentation of analytical results, and measured statements of statistical inference. RTR biostatisticians and scientists ensure that all data analysis and reporting is backed by sound statistical methodology. Specialties include:

      • R-Statistics
      • SAS
      • SQL
      • SPSS
      • ArcGIS
      • Power BI
      • Power Query
      • DAX
      • Java
        data science; graphs representing statistical and graphical presentation of biological and environmental datasets
        • Abundance, survival, and cause-specific mortality estimation using mark-recapture datasets
        • Spatially balanced survey design, power analysis, simulation studies, and other analytical procedures used to optimize study design
        • Geospatial analysis of topographical and bathymetrical datasets, with a focus on riverine and estuary habitats
        • Custom, dataset-specific models, including hierarchical Bayesian models, nonparametric spatio-temporal analysis, and autocorrelated data models
        • Construction of personalized custom R graphical and computational libraries
        • Descriptive statistics for fisheries and wildlife datasets
        • Publication of quality charts, graphs & figures

        Featured Projects

        custom data science analytics
        An Analysis of Parasitic Salmonid Diseases

        Statisticians and Geospatial Analysts from Real Time Research (RTR) conducted a simulation study to determine if changes in river flows could be used to control the amount and quality of habitat used by aquatic annelid worms, a host species of myxozoan parasitic salmonid diseases in the Klamath River, USA. Simulations coupled a two-dimensional hydrodynamic model with a spatially-explicit annelid habitat model to evaluate if desiccation events could be used to reduce annelid habitat and therefore reduce disease risks for salmonids. Results of this collaborative project between researchers from RTR, the U.S. Fish and Wildlife Service, and Oregon State University were recently published in the North American Journal of Fisheries Management.

        Joint Mortality and Survival Model

        Statisticians and Fisheries Scientists from Real Time Research (RTR) developed a state-space hierarchical Bayesian model to jointly or simultaneously estimate cause-specific mortality and survival of PIT-tagged juvenile salmonids across large spatial and temporal scales in the Columbia River, USA. The model incorporates recapture events of live fish and recoveries of tags from dead fish to generate more precise and accurate estimates of mortality and survival compared to traditional capture-recapture models. The project was conducted in collaboration with researchers from the University of Washington. The results were recently published in the journal of Environmental and Ecological Statistics.

        Want to learn more?

        Get in touch to learn how RTR can help meet your data, analytical, and research needs.