Jul 25, 2022
Mikayla Roth didn't let living 500 miles from campus stop her from pursuing her Master of Horticultural Science degree. Not only that, but she also earned her GIS certificate online from our Center at the same time!
Jul 13, 2022
The 2021-22 academic year was packed with achievements by our faculty fellows, research staff and postdoctoral scholars. Learn more about the awards and popular press coverage earned by our talented group of researchers.
This past year, our talented doctoral and professional master’s students won awards, hosted virtual public seminars, published articles and found innovative ways to support each other. Learn more about what they have been up to.
Jul 7, 2022
The new version of GRASS GIS, an open source geospatial computation and modeling engine, features integration with Jupyter Notebooks, a smoother user experience and parallel processing tools.
Jun 22, 2022
The Landscape Dynamics group at the Center for Geospatial Analytics is recruiting an NC State University undergraduate to assist with ongoing biological invasions research. Applications are due July 26, 2022.
Jun 20, 2022
In this series, Rob Dunn invites leaders in several fields of study to predict the future to understand how to best steer their fields towards the most fruitful outcomes.
Jun 13, 2022
New research used wearable sensors and satellite data to identify how a person's environment affects their level of daily exercise.
Jun 8, 2022
Invasive agricultural pests are a big problem, and the first step to preventing or minimizing their damage is determining whether an area is environmentally suitable for invasion. Predicting *when* a pest is likely to arrive, though, is just as important as anticipating *where*...
An NC State study predicts the spotted lanternfly has a low probability of first reaching the grape-producing counties of California by 2027, and a high probability by 2033.
Developers at the Center for Geospatial Analytics have released the newest official version of the Center's signature open source system for forecasting the spread of insect pests and disease and for testing control strategies: PoPS 2.0.