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


Authors: Jeff Sadler
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

Abstract

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

Urban flooding,Coastal flooding,Data-driven modeling,Random Forest,Poisson regression

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.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Sharing status:

  • Published Resource  Published

Coverage

Spatial:

 Coordinate System/Geographic Projection:  WGS 84 EPSG:4326
 Coordinate Units:  Decimal degrees
North Latitude
36.9657°
East Longitude
-76.1665°
South Latitude
36.8064°
West Longitude
-76.3341°

Temporal:

 Start Date:
 End Date:

Content

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Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
Jeff Sadler University of Virginia

Credits

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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