The Geospatial Analysis Laboratory (GAL) has been established at the Center for Research Computing (CRC) in collaboration with the Environmental Change Initiative (ECI) to connect the Notre Dame community to Geographic Information Systems and Remote Sensing (GIS/RS) technology and resources. GAL provides geospatial computing and consulting services, and also partners with clients in multi-disciplinary research to find geospatial solutions.

GAL is co-located with the ECI team at Innovation Park, Suite 211. Visit the GAL website for more information.

Global Runoff Data Processing

GAL is providing GIS services to the Notre Dame Global Adaptation Index (ND-GAIN). Major responsibilities include researching geospatial data related to GAIN index parameters, and pre- and post-processing runoff data for 176 countries listed in ND-GAIN, using ArcGIS software and python automation. Runoff data are output from 6 different models produced by the World Resources Institute (WRI), which includes historic (1950-2005) and current/future (2006-2100) runoff .

Geographic Selection Bias

Due to political, cultural, and geographic differences, the accuracy and extent of reporting on the occurrence of native species differs among countries, which can impact the performance of species distribution models. We assessed the importance of geographical biases in occurrence data on model performance using the invasive aquatic macrophyte Hydrilla verticillata as a case study. More information on the GAL website.