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Sediment trend analysis is a widely used tool in coastal management.
Trend analysis is an efficient tool for process monitoring and diagnosis.
Road density trend analysis is often too coarse and assumes homogeneous landscapes, whereas spatial transition probability analysis captures landscape variability typical of ecoregions.
A local trend analysis is used for identification, local significance assessment and estimation of the changes in the time-dependent components.
The Mann Kendall trend analysis is first used to examine the magnitude changes in precipitation, streamflow and potential evapotranspiration for the four states.
Statistical trend analysis is applied to a 110 years long groundwater quality time series from the national network of public supply well fields (PSWFs) in The Netherlands.
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A trend analysis was conducted using annual yield or plant density estimates or by grouping the data by decade or lustrum.
In this study, a combination of hierarchical classification and trend analysis was used to assess spatial and temporal flow regime alterations in the Huai River Basin, China.
The trend analysis was conducted in two phases.
Additionally, for the factor year a trend analysis was performed according to Bortz et al. [17].
First, an NDVI trend analysis was carried out using the Ordinary Least Square procedure (OLS).
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