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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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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.
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 (email@example.com) for more information. Contact Information: Dr. Samuel J. Smidt Assistant Professor University of Florida/IFAS Email: firstname.lastname@example.org
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.
|Susan Lamb||University of Florida|
|Erin Haacker||University of Nebraska - Lincoln|
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/