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Type: | Resource | |
Storage: | The size of this resource is 36.6 MB | |
Created: | Jul 25, 2024 at 2:38 p.m. | |
Last updated: | Aug 05, 2024 at 1:08 p.m. | |
Citation: | See how to cite this resource | |
Content types: | Single File Content |
Sharing Status: | Public |
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Views: | 302 |
Downloads: | 325 |
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Abstract
This resource contains materials for a 1-day workshop on critical zone time-series data analysis, co-organized by NSF CZ Clusters CINet and Big Data. and CUAHSI. Topics of the workshop include choosing the right tool for your research questions, autocorrelation, correlation, trend analysis, clustering, and causal inference.
Workshop date: Aug 5
Workshop location: University of Illinois at Urbana-Champaign
Session topics include correlation, autocorrelation, trend analysis, clustering, and causal inference based in information theory methods.
Subject Keywords
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Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Science Foundation | CZ Cluster: Critical Interface Network for Intensively Managed Landscapes (CINet) | EAR 2012850 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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