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Researchers Design Simulation Tool to Predict Disease, Pest Spread

Forecasting Landscape and Environmental Change

Aerial view of downtown Raleigh - Urban Growth Projections Offer Key Insights Shaping Conservation Decisions - Geospatial Analytics at NC State University

Sep 30, 2024

Urban Growth Projections Offer Key Insights Shaping Conservation Decisions

Experts from the Southeast Conservation Adaptation Strategy (SECAS) share how the Center's research informs and strengthens their conservation prioritization strategies.
Traffic light sign under water - New Model Adds Human Reactions to Flood Risk Assessment - Geospatial Analytics at NC State University

Nov 7, 2023

New Model Adds Human Reactions to Flood Risk Assessment

By taking human adaptation into account, a new version of the FUTURES land change model offers a more realistic assessment of flood risk.
Elly Gay and Katherine Martin look at a computer screen in the Geovisualization Lab

Sep 28, 2022

Natural Solutions and a Clean Water Future for the Cape Fear

Faculty Fellow Katherine Martin and her research team are using the Center’s signature FUTURES land change model to simulate potential new development scenarios throughout the Cape Fear River Basin, to better understand how upstream land-use changes could impact downstream water quality.
Insect - Center for Geospatial Analytics at NC State University

Jun 8, 2022

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.

Jun 8, 2022

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

Jun 8, 2022

Pest or Pathogen Spread (PoPS) Model 2.0.0 Released

Developers at the Center for Geospatial Analytics have announced the release of PoPS 2.0.0, the latest 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 stands for Pest or Pathogen Spread, requires no spatial modeling experience to run, and can…
green vineyard being inspected for pests

Apr 20, 2022

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.
Presentation Title: Forecasting Prescribed Fire Smoke in Southern Appalachian Communities - Future Fire Use and Wildland Urban Interface Communities in Western North Carolina - Center for Geospatial Analytics at NC State University

Feb 9, 2022

Future Fire Use and Wildland Urban Interface Communities in Western North Carolina

Geospatial Analytics Ph.D. student Kate Jones is working with land managers to develop scenarios of future prescribed fire management and predict the effect of different strategies on the distribution of downwind smoke through space and time.
Elyssa Collins and Georgina Sanchez - Mapping the Future: Climate Change and Flooding in Coastal North Carolina - Center for Geospatial Analytics at NC State University

Jun 25, 2021

Mapping the Future: Climate Change and Flooding in Coastal North Carolina

Geospatial Analytics Ph.D. student Elyssa Collins is leading cutting-edge research to better assess flood risk. Learn how she and Research Associate Georgina Sanchez are developing new models to simulate flooding probabilities, now and into the future.
3D Map - Researchers Design Simulation Tool to Predict Disease, Pest Spread - Center for Geospatial Analytics at NC State University

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.