Skip to Main Content
Assessing wildfire risks at multiple spatial scalesAuthor(s): Justin Fitch
Source: Las Cruces, NM: New Mexico State University. 69 p. Thesis.
Publication Series: Miscellaneous Publication
Station: Rocky Mountain Research Station
PDF: Download Publication (3.81 MB)
DescriptionIn continuation of the efforts to advance wildfire science and develop tools for wildland fire managers, a spatial wildfire risk assessment was carried out using Classification and Regression Tree analysis (CART) and Geographic Information Systems (GIS). The analysis was performed at two scales. The small-scale assessment covered the entire state of New Mexico, while the large-scale assessment covered only the Middle Rio Grande ecosystem. The result of this project is a Geographic Information System (GIS) based predictive model. The model highlights areas of high wildfire risk, based on the spatial distributions of numerous variables which contribute to wildfire occurrence.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
CitationFitch, Justin. 2008. Assessing wildfire risks at multiple spatial scales. Las Cruces, NM: New Mexico State University. 69 p. Thesis.
Keywordswildfire, multiple spatial scales, Classification and Regression Tree analysis (CART), Geographic Information Systems (GIS)
- ArcFuels10 system overview
- AEGIS: a wildfire prevention and management information system
- Using ArcObjects for automating fireshed assessments and analyzing wildfire risk
XML: View XML