Creating Near Real-Time Decision Analytics

Sep 21, 2021

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.

Aug 30, 2021

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.

Aug 23, 2021

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.

Jun 3, 2021

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.

May 17, 2021

GIS Problem-Solving Through Service Learning

During the Spring 2021 semester, our graduating professional master’s students applied their knowledge and skills in community partnerships that supported affordable housing, pollution prevention, local planning and more.

Apr 26, 2021

Where There’s Smoke: Reducing Downwind Impacts of Prescribed Burns

New research by Geospatial Analytics Ph.D. student Kate Jones will use geospatial modeling and interactive data visualization to help fire managers consider the vulnerability of communities downwind of prescribed burns.

Apr 1, 2021

Helping Clean Energy Move Forward

Geospatial Analytics Ph.D. student Alex Yoshizumi is combining passions for geography, planning and sustainability to help map North Carolina’s energy future.

Oct 29, 2020

First Official Version of PoPS (Pest or Pathogen Spread) Model Released

Developers at the Center for Geospatial Analytics have announced the first stable release of the Pest or Pathogen Spread model (PoPS 1.0), the Center’s signature open source system for forecasting the spread of insect pests and disease and for testing control strategies.

Sep 28, 2020

Protecting Our Future Food Supply with AI and Geospatial Analytics

In partnership with Lenovo, Associate Director of Spatial Computing and Technology Raju Vatsavai is applying artificial intelligence (AI) and deep-learning algorithms to the problem of global crop monitoring with the hopes of “optimizing the needs of future populations.”

Sep 9, 2020

Faculty Focus: Nelson to Help USDA Guide Agricultural Innovation

Faculty Fellow Natalie Nelson was selected by the US Department of Agriculture to serve as one of 11 subject matter experts for the USDA’s Agriculture Innovation Agenda. Her expertise in machine learning and data science will inform proactive strategies to prevent crop loss.