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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Scientists Use Satellites To Track Earth ‘Greening’ Amid Climate Change

Research led by Geospatial Analytics Ph.D. student Xiaojie Gao found changes in global “greening” will play a significant role in how much carbon dioxide plants capture and store.

Are Densely Built or Sprawling Cities Better for Conservation?

New research co-authored by Faculty Fellows Jelena Vukomanovic ‏and Adam Terando ‏examined whether densely packed or sprawling urban development best meets biodiversity and conservation goals and found…there is no consensus.

The invasive insect, the spotted lanternfly.

Tweets, News Offer Insights on Invasive Insect Spread

Twitter and online news could help scientists track the spread of invasive insects, a new study from NC State’s Center for Geospatial Analytics found.

New Study Uses Decision Science to Support the Planning-to-Implementation Process for Compensatory Mitigation

In collaboration with the North Carolina Division of Mitigation Services, a team led by research associate Georgina Sanchez created a new framework to prioritize areas for ecosystem service conservation and restoration.

an orange snow shovel cuts through a pile of snow

New Visualization Tool Helps Weather Forecasters and Researchers More Easily Identify and Study Bands of Heavy Snow

Geospatial Analytics Ph.D. candidate Laura Tomkins developed a new way for meteorologists and atmospheric scientists to quickly and easily distinguish heavy snow from mixed precipitation in weather radar imagery, to improve understanding of snowfall during winter storms.