Presentation Title

Risk Mapping of Possible Forest Fires in California

Presentation Type

Presentation

Full Name of Faculty Mentor

Aneilya Barnes, History, and Susan Bergeron, Anthropology & Geography

Major

Digital Culture and Design

Presentation Abstract

In the past decade, climate change effects have increased drastically, impacting the number of forest fires occurring across the world. This study seeks to examine identified and mapped forests within California and explore environmental and cultural factors that play significant roles in determining the likelihood of forest fires occurring at each location. Primary data sets for this study include GIS map layers of temperatures, forest cover, droughts, and locations of past fires across California. It also incorporates information on specific types of forests and trees found in the state and collected statistics on different dynamics of fire conditions. Combining all the collected data and creating separate map layers for each feature will result in one layered GIS risk map that shows predictions for the likelihood of forest fires occurring in specific locations across California, making better preparation for future forest fires possible, especially in forest areas of higher risk.

Location

Room 3

Start Date

21-4-2021 4:30 PM

End Date

21-4-2021 4:50 PM

Disciplines

Digital Humanities

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Apr 21st, 4:30 PM Apr 21st, 4:50 PM

Risk Mapping of Possible Forest Fires in California

Room 3

In the past decade, climate change effects have increased drastically, impacting the number of forest fires occurring across the world. This study seeks to examine identified and mapped forests within California and explore environmental and cultural factors that play significant roles in determining the likelihood of forest fires occurring at each location. Primary data sets for this study include GIS map layers of temperatures, forest cover, droughts, and locations of past fires across California. It also incorporates information on specific types of forests and trees found in the state and collected statistics on different dynamics of fire conditions. Combining all the collected data and creating separate map layers for each feature will result in one layered GIS risk map that shows predictions for the likelihood of forest fires occurring in specific locations across California, making better preparation for future forest fires possible, especially in forest areas of higher risk.

https://digitalcommons.coastal.edu/ugrc/test1/test1track/29