Output from data-driven model of flood severity in Norfolk, VA
|Owners:||Jeff Sadler · Jonathan Goodall|
|DOI:||10.4211/hs.54df00b15c02458685fa3b622f2ecc7b How to Cite|
|Resource type:||Composite Resource|
|Created:||Dec 21, 2017 at 5:12 p.m.|
|Last updated:||Mar 02, 2018 at midnight by Jeff Sadler|
This is tabular output data from two data-driven models used to predict flood severity, Poisson regression and Random Forest regression. Both outputs from the training and testing phases of the modeling are included in the resource. Additionally, results indicating the relative importance of each predictor variable in the Random Forest model are provided in the "rf_impo_out.csv" file. This work is described in the following paper published in the Journal of Hydrology: https://doi.org/10.1016/j.jhydrol.2018.01.044.
Urban flooding,Coastal flooding,Data-driven modeling,Random Forest,Poisson regression
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Coordinate System/Geographic Projection:||WGS 84 EPSG:4326|
|Coordinate Units:||Decimal degrees|
|Jeff Sadler||University of Virginia|
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This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|Mid-Atlantic Transportation Sustainability Center|
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