Irrigation Drivers Boosted Regression; Kansas HPA


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Resource type: Composite Resource
Storage: The size of this resource is 6.5 GB
Created: Sep 16, 2020 at 3:16 p.m.
Last updated: May 11, 2021 at 6:52 p.m.
DOI: 10.4211/hs.c0b6ebc880f54c92b1c4a633b0b85353
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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

Resource Level 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

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/
CC-BY

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