1 resultado para landslides
em Digital Archives@Colby
Filtro por publicador
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (8)
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- Aquatic Commons (2)
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- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
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- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (10)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (19)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (8)
- CentAUR: Central Archive University of Reading - UK (3)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (25)
- Cochin University of Science & Technology (CUSAT), India (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (6)
- Digital Archives@Colby (1)
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- Memoria Académica - FaHCE, UNLP - Argentina (3)
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- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (332)
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- Queensland University of Technology - ePrints Archive (11)
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- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (1)
- University of Michigan (7)
- University of Southampton, United Kingdom (1)
- University of Washington (10)
Resumo:
Natural disasters can cause extensive damage to communities and infrastructure. The state of Maine is fairly lucky because natural disasters are relatively infrequent. Maine does, however, experience earthquakes, flooding, hurricanes, and landslides. Certain areas of the state are more prone to experience natural disaster than others. Using GIS analysis, we are analyzing natural disaster hotspots in Maine to determine if there is a statistically significant relationship between natural disaster susceptibility and socioeconomic variables including income and population.