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https://github.com/smithsonian/sdmingee


https://github.com/smithsonian/sdmingee

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# Implementation of species distribution models in Google Earth Engine

Ramiro D. Crego a,b, Jared A. Stabach a and Grant Connette a,b

a – Smithsonian National Zoo and Conservation Biology Institute, Conservation Ecology Center, 1500 Remount Rd, Front Royal, VA 22630, USA.

b - Working Land and Seascapes, Conservation Commons, Smithsonian Institution, Washington, DC 20013, USA

The Google Earth Engine code and data used in this study are freely available at the following Google Earth Engine repository: https://code.earthengine.google.com/?accept_repo=users/ramirocrego84/SDM_Manuscript

The tutorial to use the code to fit species distribution models in Google Earth Engine is available at: https://smithsonian.github.io/SDMinGEE/

Dr. Crego is a postdoctoral researcher at the Smithsonian Conservation Biology Institute (USA). He specializes in spatial ecology and conservation biology. He uses a combination of field data collection, remote sensing, and advanced modeling to investigate how species adapt to rapid global changes.

Dr. Stabach is an ecologist at the Smithsonian Conservation Biology Institute (USA) and program coordinator of the Smithsonian Institution’s Movement of Life Initiative. His research focuses on the factors that affect the abundance, distribution, and movement patterns of large terrestrial mammals, incorporating remotely sensed- and field data-derived variables to relate to animal point locations to address applied research questions.

Dr. Connette is an ecologist at the Smithsonian Conservation Biology Institute (USA). He specializes in landscape ecology, wildlife population dynamics, and Geographic Information Systems (GIS). He currently serves as a science advisor for Smithsonian’s Working Land & Seascapes Initiative, which partners with communities, decision-makers, and other stakeholders to inform environmental conservation policies and practices.