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About Richards Et Al (2010) - Using Generalized Additive Models To Assess, Explore and Unify Environmental Monitoring Datasets
This document describes three case studies that demonstrate the use of generalized additive models (GAMs) to analyze environmental monitoring data. In the first case study, a GAM is used to unify data from a short-term water quality monitoring program with data from an established long-term program in an Australian estuary. The second case study uses a GAMM to evaluate spatial patterns in biomonitoring data while accounting for variability in animal size. The third case study uses a GAMM to explore trends in continuous oceanographic monitoring data while accounting for temporal autocorrelation. Overall, the case studies highlight how GAMs provide a flexible framework for uncovering nonlinear trends in complex, multivariate environmental monitoring datasets.
Detailed Information
| Author: | ['SuryoKusumo'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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