Researchers

Research assistants, research associates and research scholars bring invaluable experience to scholarly projects at the Center for Geospatial Analytics, exercising their talents to develop new approaches to complex problems.

An image of hands on a touch screen at the North Carolina State University Center for Geospatial Analytics

Whether developing new teaching strategies, competing for selective funding opportunities or providing instrumental talent to spearhead or support existing projects, our research staff are pioneers in their fields.

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45+ Active Research Projects

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gordon-chaffin - Center for Geospatial Analytics at NC State University

Study: People Are Most Physically Active When Their Environments are Both Highly Walkable and Very Green

New research used wearable sensors and satellite data to identify how a person’s environment affects their level of daily exercise.

Insect - Center for Geospatial Analytics at NC State University

Forecasting the Arrival of an Insect Pest

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*…

The invasive insect, the spotted lanternfly.

Invasive Insect that Kills Grapes Could Reach California Wine Region by 2027

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.

PoPS - Center for Geospatial Analytics at NC State University

Pest or Pathogen Spread (PoPS) Model 2.0.0 Released

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.

Aerial of forests in Great Smoky Mountains - Center for Geospatial Analytics at NC State University

During Droughts, Thirstier Mountain Forests Could Mean Less Water Downstream

Research led by Geospatial Analytics Ph.D. student Katie McQuillan finds increased water use by upstream mountain forests could leave less water for other forests, cities and wildlife during drought.

Map of the United States showing predicted average flood damage risk by state or district - Center for Geospatial Analytics at NC State University

Study: U.S. Flood Damage Risk Is Underestimated

A research team led by Geospatial Analytics Ph.D. student Elyssa Collins used artificial intelligence to predict where flood damage is likely to happen in the conterminous United States, suggesting that recent flood maps from the Federal Emergency Management Agency do not capture the full extent of flood risk.