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Data-driven model script for flood severity modeling in Norfolk, VA

Authors:
Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	Resource
Storage:	The size of this resource is 3.9 KB
Created:	Dec 21, 2017 at 5:16 p.m.
Last updated:	Mar 01, 2018 at 10:11 p.m. (Metadata update)
Published date:	Mar 01, 2018 at 10:10 p.m.
DOI:	10.4211/hs.712cd2ce8f604c8f824d6836ee3fcb53
Citation:	See how to cite this resource
Content types:	Single File Content

Sharing Status:	Published
Views:	2240
Downloads:	81
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Abstract

This is a script written in the R programming language. The script is used to train and apply two data-driven models, Random Forest and Poisson regression. The target variable is the number of flood reports per storm event in Norfolk, VA USA. The input variables for the models are environmental conditions on an event time scale (or daily if no flood reports were made for an event). This script was used to produce results published in a paper in the Journal of Hydrology: https://doi.org/10.1016/j.jhydrol.2018.01.044.
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Original run configurations:
R version = 3.3.3
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
Packages used:
'randomForest' (version 4.6-12)
'caret' (version 6.0-73)

Subject Keywords

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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Related Resources

The content of this resource references

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

Credits

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). Data-driven model script for flood severity modeling in Norfolk, VA, HydroShare, https://doi.org/10.4211/hs.712cd2ce8f604c8f824d6836ee3fcb53

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

http://creativecommons.org/licenses/by/4.0/

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