Creating Near Real-Time Decision Analytics
Leveraging GIS Know-How for Custom Problem-Solving
During the Spring 2022 semester, our graduating professional master’s students worked with industry, government and nonprofit partners to apply their knowledge and skills to pressing geospatial challenges.
New USDA-Funded Research Will Leverage Big Data and Machine Learning to Forecast Spread of Agricultural Pests
New research led by Center director Ross Meentemeyer and research scholar Chris Jones will address data gaps that have previously hindered the accuracy of, and rapid updates to, pest spread forecasts.
Rachel Porter Is NC State’s 2022 Esri Innovation Program Student of the Year
NC State joined a select group of universities worldwide when it became part of the Esri Innovation Program in 2017. Congratulations to our 2022 EIP Student of the Year: Fall 2021 MGIST graduate Rachel Porter!
GIS Service-Learning Solutions for Utility Management, Community Health, Building Resilience and More
During the Fall 2021 semester, our graduating professional master’s students worked with industry, government and nonprofit partners to apply their knowledge and skills to pressing geospatial challenges.
PoPS: The Data-Driven Decision-Making Tool
The US Department of Agriculture's Plant Protection and Quarantine program is using a forecasting framework developed at the Center for Geospatial Analytics to design and test control strategies for the invasive spotted lanternfly.
Meet Our Landscape Dynamics 2021–22 Undergrad Researchers
The Center’s Landscape Dynamics group is excited to welcome four new undergrad researchers who bring talents from a variety of majors to our biological invasions and urban systems research.
Seeing the Earth for the Forests
Geospatial Analytics Ph.D. student Ian McGregor is using satellite imagery and time series modeling to help conservation agencies detect illegal logging in near real-time in protected forests. Find out more in his guest post on the NC Space Grant news blog.
Digging Deep into Interdisciplinary Agricultural Research
Geospatial Analytics Ph.D. student and Sweet Fellow Randi Butler is starting research this fall on an interdisciplinary agricultural data science team using a variety of techniques to reduce agricultural waste and increase sweet potato yield.
New PoPS Border Simulation Supports Front Lines of Pest Detection
Software developers at the Center for Geospatial Analytics have released the first version of a pest or pathogen spread (PoPS) simulation that can quantify the effectiveness of inspections at ports of entry and reveal how many pests are missed.
Researchers Design Simulation Tool to Predict Disease, Pest Spread
A team led by Research Scholar Chris Jones developed a computer simulation tool called PoPS to predict pest and disease attacks on crops or forests, and to test when and where to apply pesticides or other management strategies to contain them.