Output from data-driven model of flood severity in Norfolk, VA

Resource type: Composite Resource
Storage: The size of this resource is 4.5 MB
Created: Dec 21, 2017 at 5:12 p.m.
Last updated: Mar 01, 2018 at 10:09 p.m.
DOI: 10.4211/hs.54df00b15c02458685fa3b622f2ecc7b
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Content types: Single File Content 
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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.

Subject Keywords

Resource Level Coverage


Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
East Longitude
South Latitude
West Longitude


Start Date:
End Date:



Related Resources

The content of this resource was created by: https://www.hydroshare.org/resource/712cd2ce8f604c8f824d6836ee3fcb53/
This resource cites: https://doi.org/10.1016/j.jhydrol.2018.01.044
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Data-driven street flood severity modeling in Norfolk, Virginia USA 2010-2016 Jeff Sadler · Jonathan Goodall  Public &  Shareable Open Access


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Mid-Atlantic Transportation Sustainability Center

How to Cite

Sadler, J. (2018). Output from data-driven model of flood severity in Norfolk, VA , HydroShare, https://doi.org/10.4211/hs.54df00b15c02458685fa3b622f2ecc7b

This resource is shared under the Creative Commons Attribution CC BY.



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