Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.

This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.

Irrigation Drivers Boosted Regression; Kansas HPA

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 3.1 GB
Created:	Sep 16, 2020 at 3:16 p.m.
Last updated:	Feb 02, 2024 at 7:39 a.m. (Metadata update)
Published date:	May 11, 2021 at 6:52 p.m.
DOI:	10.4211/hs.c0b6ebc880f54c92b1c4a633b0b85353
Citation:	See how to cite this resource

Sharing Status:	Published
Views:	1383
Downloads:	23
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

Abstract

These data correspond to the publication, "Influence of Irrigation Drivers Using Boosted Regression Trees: Kansas High Plains" by SE Lamb, EMK Haacker, and SJ Smidt. This study used boosted regression trees to identify the relative influence of irrigation drivers in western Kansas. This resource provides all model inputs and outputs.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Kansas High Plains Aquifer

North Latitude

40.0051°

East Longitude

-97.3029°

South Latitude

36.9791°

West Longitude

-102.0929°

Temporal

Start Date:
End Date:

Content

Learn more about the BagIt download

Select a file to see file type metadata.

readme.txt

Irrigation Drivers Boosted Regression; Kansas HPA

Created by Sam Smidt
University of Florida
September 2020
______________________________________________________________________________

The available data files were developed for:
Lamb, S. E., Haacker, E. M.K., & Smidt, S. J. (2021). 
Influence of Irrigation Drivers Using Boosted Regression Trees: Kansas High Plains. 
Water Resources Research, 57, e2020WR028867. https://doi.org/10.1029/2020WR028867

The data files available here include:
-Model run inputs and outputs for each group
-CV (cross-validation) results for each group
-Drop results for each group
-Relative influence results for each group

Boundary data for Intensive Groundwater Use Control Areas are made available from an open records request 
through the Kansas Department of Agriculture (https://agriculture.ks.gov/document-services/open-records-request). 

Saturated Thickness data and modified Water Table Elevation data (used to calculate Depth to Water Table)
are from Haacker et al. 2016. Please contact Dr. Erin Haacker (ehaacker2@unl.edu) for more information.

Contact Information:

Dr. Samuel J. Smidt
Assistant Professor
University of Florida/IFAS

Email: ssmidt@ufl.edu

Credits

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name	Organization	Address	Phone	Author Identifiers
Susan Lamb	University of Florida
Erin Haacker	University of Nebraska - Lincoln

How to Cite

Smidt, S. J. (2021). Irrigation Drivers Boosted Regression; Kansas HPA, HydroShare, https://doi.org/10.4211/hs.c0b6ebc880f54c92b1c4a633b0b85353

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

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

Comments

There are currently no comments