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Data · dataset · 2014

San Diego County Fuel Breaks Bayesian Network

Listed in DataCite

The model examines the impact of fuel breaks, fuel loads, weather and landscape configuration on the risk wildfire poses to houses in San Diego County.

Description

File is in the GeNie format. The work is in press with PLoS ONE and can be cited as: Penman, T.D., Collins, L., Syphard, A.D., Keeley, J.E., Bradstock, R.A., in press.

Influence of fuels, weather and the built environment on the exposure of property to wildfire. PLoS ONE Accepted 12 September 2014.

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Mathematics · Mathematics
Provenance · 2 source records, 14 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.117122514 d agoJSON v1
DataCite10.6084/m9.figshare.1171225.v114 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · DataCitevocabulary-mapper@1.0.0keywords['Environmental Science']
concepts[field].local:field:earth-environmentalmapping · DataCitevocabulary-mapper@1.0.0keywords['Environmental Science']
concepts[field].local:field:mathematics-statisticsmapping · DataCitevocabulary-mapper@1.0.0keywords['Statistics']
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