Megan Skrip

Feb 28, 2023

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. 

Feb 10, 2023

Congrats to NC State’s 2023 Herb Stout Student Award Winners

Jeremy Davis and Andrea Saravitz are the 2023 NC State recipients of the Herb Stout Student Award and will represent the university at the NC GIS Conference in March. 

Feb 9, 2023

Center for Geospatial Analytics Seeking Assistant Finance Officer

The Center for Geospatial Analytics is seeking an Assistant Finance Officer to serve as the primary point of contact for finance and research administration. 

Feb 9, 2023

Celebrating Our Community: Fourth Annual CGA Awards

At our Awards Banquet on January 31, the Center for Geospatial Analytics honored students, faculty and staff for their achievements and presented the CGA Awards. 

Feb 1, 2023

First-Year Students Learn the Value of GIS for Environmental Justice

Each year, more than 150 incoming NC State freshmen in the Environmental First Year Program learn how geospatial tools can help reveal and address environmental inequities produced by systemic racism. 

Jan 26, 2023

Spatial Associations of Long-Term Exposure to Diesel Particulate Matter and COVID-19 Mortality

Geospatial Analytics Ph.D. student Martine Mathieu's research explores spatial associations between COVID-19 mortality rates and exposure to exhaust from diesel engines. 

Jan 26, 2023

Mapping Rice: Lessons from a Remote Sensing Stint in Bangladesh

Geospatial Analytics Ph.D. student Varun Tiwari, in collaboration with a research team including Mollie Gaines (pictured), developed an automated method to map rice cultivation in Bangladesh to support food security. 

Jan 24, 2023

Changing Trends in Landslide Susceptibility in the Central Highlands of Vietnam

Geospatial Analytics Ph.D. student Raja Das uses high-resolution satellite data and machine learning to map landslide-affected areas and identify where future landslides are likely to occur. 

Jan 24, 2023

Exploring Scenario-Based Surface Water Area Projections at AGU

Geospatial Analytics Ph.D. candidate Mollie Gaines uses machine learning to project surface water area in the Southeast under different climate and land cover change scenarios. 

Jan 23, 2023

The National Phosphorus Budget

Geospatial Analytics Ph.D. candidate Kimia Karimi is developing new ways to quantify how much phosphorus flows through US watersheds to support water quality management.