Mapping GLAMs: creating a national dataset of GLAMs to develop a categorical climate-change risk assessment scale
DOI:
https://doi.org/10.47989/ir30iConf47185Keywords:
climate change, cultural heritage, GISAbstract
Introduction. The PROTECCT-GLAM project aims to assess and address climate risks for U.S. galleries, libraries, archives, and museums (GLAMs). The project team began with creating a national dataset of GLAMs.
Method. The project team used existing datasets that required different auditing and manipulation techniques to align its data. Following the data normalization, the master file included 77,960 entries.
Analysis and Results. The project team used ArcGIS Pro to analyze a dataset of galleries, libraries, archives, and museums (GLAMs) for risk from sea level rise, finding 16,877 GLAMs within 30 kilometres of the U.S. coast, with California, New York, Maryland, Florida, and New Jersey having the highest numbers. They also assessed GLAMs per capita by state using 2020 census data, reporting results per 10,000 people.
Conclusion. The dataset creation was successful and is being utilized to create a five-point scale based on the average of five climate variables for each GLAM.
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Copyright (c) 2025 Edward Benoit, III, Jill Trepanier, Jennifer Vanos, Emily Fisher, Kaitlyn Bailey, Annie Waddell, Haley Moore, Mandy Hatman, Mary Sidwell, Symonne Russell, Virginia Seger, Paige Boutte, Amanda Latta, Zoe Mohammad, Kyriel Felton, Erin Deliman, Breanna Benson-Pearce, Wendy Johnson, Allyson Russell, Baillie Pretzer, Christopher Reeder, Melissa McConnell, Lisa Dahlke, Kaitlynn Melear, Lillian Bodi, Savannah T. Lyle, Zach Lannes, Gwen L. Wells, Benjamin A. Teincuff, Jason M. Straight, Tiffany Rockwell, Shane T. Manthei, Jennifer L. Benner, Jane Fiegel, Amanda Lima, Elizabeth Rininger, Caroline Melinger, Deborah Metz-Andrews, Meryl Roepke, Karen Isaac, Mallory Collins
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
