CSEMP assessment of copper in biota at New Brighton (Mersey)
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | -1.84 | 0.73 | 3.92 | -7.84 | | | |
| linear | 2 | -0.96 | 4.38 | 4.48 | -8.96 | 1.117 | 1 | 0.2905 |
| smooth (df = 2) | 3 | 0.52 | 10.52 | 4.74 | -9.48 | 0.528 | 1 | 0.4674 |
| smooth (df = 3) | 4 | 2.09 | 20.09 | 4.95 | -9.91 | 0.422 | 1 | 0.5161 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 2002 | 2018 | 7.167 | 7.574 | 0.4076 | 0.3748 | 1.088 | 0.3084 |
| last 20 years | 2002 | 2018 | 7.167 | 7.574 | 0.4076 | 0.3748 | 1.088 | 0.3084 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 1947.4 | 978.0 | -0.6887 | 0.2138 | -3.222 | 0.9939 |
Raw data with supporting information
Raw data with assessment
Assessment plot
Metals data
Metals assessment
Related pages
- Clean Seas Environment Monitoring Programme (CSEMP) accessment viewer tool
- Assessment methodology for metals in biota
- Accessment criteria for metals in biota
