Irrigation Drivers Boosted Regression; Kansas HPA
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| Resource type: | Composite Resource | ||
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| Created: | Sep 16, 2020 at 3:16 p.m. | ||
| Last updated: | May 11, 2021 at 6:52 p.m.
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| DOI: | 10.4211/hs.c0b6ebc880f54c92b1c4a633b0b85353 | ||
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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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: | |
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| End Date: |
Content
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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/
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