CSEMP assessment of copper in sediment at Bann Estuary
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | 39.95 | 42.20 | -16.97 | 33.95 | | | |
| linear | 2 | 39.78 | 44.35 | -15.89 | 31.78 | 2.167 | 1 | 0.1410 |
| smooth (df = 2) | 3 | 41.01 | 49.34 | -15.50 | 31.01 | 0.772 | 1 | 0.3797 |
| smooth (df = 3) | 4 | 42.82 | 57.22 | -15.41 | 30.82 | 0.186 | 1 | 0.6662 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 2006 | 2018 | 3.938 | 3.586 | -0.3521 | 0.2265 | -1.555 | 0.1544 |
| last 20 years | 2006 | 2018 | 3.938 | 3.586 | -0.3521 | 0.2265 | -1.555 | 0.1544 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 36.09 | 27.00 | -0.29009 | 0.14171 | -2.047 | 0.9645 |
| ERL | 36.09 | 34.00 | -0.05956 | 0.14171 | -0.420 | 0.6579 |
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 sediment
- Accessment criteria for metals in sediment
