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Species distribution models have traditionally used climatic data as predictors of habitat suitability for the target species. In this free, hands-on geospaital studio, we will explore the use of satellite data to derive relevant predictors. Participants will:

  • Perform satellite data processing, from download to analysis, using open-source GRASS GIS software functionality.
  • Read predictors within R statistical software to perform SDM and visualize and analyze results.
  • Write the output distribution maps back into GRASS GIS.

Visiting scholar Verónica Andreo, a biologist, researcher, lecturer, developer and chair of the GRASS GIS project steering committee, will lead this session.

Register today to reserve your spot. 

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In compliance with the Americans with Disabilities Act, NC State will honor requests for reasonable accommodations made by individuals with disabilities. Direct accommodation requests to:

John Vogler at or 919-513-7951.

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