3 research outputs found
Climate and environmental factors together with their averaging times used in Partial Least Squares (PLS) regression analysis of seagrass meadow changes at Weipa, North Queensland, Australia (2000 to 2010).
<p>Climate and environmental factors together with their averaging times used in Partial Least Squares (PLS) regression analysis of seagrass meadow changes at Weipa, North Queensland, Australia (2000 to 2010).</p
Partial least squares (PLS) regression analysis (final models following stepwise analysis) of annual mean seagrass biomass relative to available climate and environmental data at Weipa, North Queensland, Australia (2000 to 2010).
<p>Table shows the overall ‘global’ ANOVA statistics for each of the regression models, the individual principal components and their cumulative R<sup>2</sup> values. Individual regression coefficients of the specific biomass predictors (environmental variables) are also shown.</p
Location of the seagrass meadow near the town of Weipa, Queensland, Australia.
<p>Location of the seagrass meadow near the town of Weipa, Queensland, Australia.</p