Wainger Lab
University of Maryland Center for Environmental Science

GIS Center

Geographic Information Systems (GIS) and spatial data analysis offer powerful tools for synthesizing data, evaluating scientific hypotheses, and making decisions on environmental management. For example, much of our work aims to prioritize restoration based on location-specific measures of potential benefits, costs, and limitations to success (click thumbnails for larger images).

We now offer GIS support on an hourly basis.  Please click here to see our services and prices.

slide 1

Visualizing spatial data for hypothesis development

slide 6 slide 5

Spatial analysis - proximity and co-occurrence

slide 19 slide 21slide 15slide 16slide 17slide 24

Spatial statistics and hypothesis testing

slide 27 slide 29

Data Visualization


Arctic sediment samples reveal the abundance and species richness of bottom sediments. Changes through time of benthic animal communities are shown on the map in the upper right hand corner, including changes in the abundance of marine worms (yellow), arctic clams (brown), amphipods (pink), brittle stars (green), and peanut worms (purple). Water and sediment characteristics are also mapped to understand potential sources of variability in animal communities in the Chukchi and Bering Sea. This work is also contributing to understanding baseline conditions in the Chukchi Sea (northwest of Alaska) before planned oil and natural gas extraction starts. This research is supported by the US Bureau of Ocean Energy Management.

More information about this Arctic scientific research

HomePublications | CV | GIS CenterResearch