Data for "Gaining Hydrological Insights Through Wilk's Feature Importance: A Test-Statistic Interpretation method for Reliable and Robust Inference"

kailong Li

doi:10.5281/zenodo.4568482

Published December 23, 2020 | Version v2

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Data for "Gaining Hydrological Insights Through Wilk's Feature Importance: A Test-Statistic Interpretation method for Reliable and Robust Inference"

kailong Li¹

1. University of Regina

Daily timestep dataset including streamflows of three irrigation drainage basins; four irrigation canal flow data; precipitation, temperature and evaporation data.

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numeric case.txt

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Hydrological input.xlsx md5:d197cb13706d45aba851391e3a0e122b	269.8 kB	Download
numeric case.R md5:c7247ca0377b21993053f9dcb2a71af5	374 Bytes	Download
numeric case.txt md5:201831c16a07dc06c022712087ff661d	402 Bytes	Preview Download
SCA_model.R md5:6951da4b467ab40a7f0474c1dcc07268	54.2 kB	Download

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Zenodo

License: Creative Commons Attribution 4.0 International

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Created: February 27, 2021
Modified: February 28, 2021

Data for "Gaining Hydrological Insights Through Wilk's Feature Importance: A Test-Statistic Interpretation method for Reliable and Robust Inference"

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Files

numeric case.txt

Files (324.8 kB)