Data Analysis, Interpretation & Visualization

Program Overview

NRRI’s Data Analysis, Interpretation, and Visualization Program helps people and organizations understand their data. Our goal is to facilitate collaboration, increase re-use of high value datasets and increase data impact. Through a combination of analytical approaches, ranging from traditional statistics to state-of-the-art machine learning approaches, and effective visualization, our researchers drive accurate data interpretation in a variety of disciplines.

We also help organizations and individuals compile and manage the data to understand complex systems and answer complicated questions. With expertise in spatial and non-spatial data, custom workflows and a deep knowledge of existing and expected data products, we can help ensure that you have the most appropriate and current data available for your projects.

Program Goals

  • Drive better decision making through effective use of data and information
  • Support data-intensive research with efficient workflows and novel statistical approaches
  • Create, discover, and assemble custom data sets that meet the needs of the Institute and our partners
  • Provide feedback on experimental design, statistical analysis and data exploration

Expertise and Program Resources

  • Expertise in statistical analysis, database management, programming languages, and specialty software
  • High-Performance Computing, access to Minnesota Supercomputing Institute resources
  • GIS laboratory, remote sensing, processing of LiDAR data
  • Data cleaning and wrangling
  • Custom method development and custom visualization

Recent Projects

 

Staff

Software, Database Developer
GIS Developer

Featured Research Projects

A risk-based classification and map of watersheds contributing anthropogenic stress to Great Lakes coastal ecosystems.

Online mapping tools and data for natural resource planning, management, and research in Minnesota.

Helping decision-makers prioritize where to restore and protect wetlands in Minnesota.

Related News

NRRI Scientist Will Bartsch delivers easy-access, data-driven information for good resource decision-making.