Test Sub-page for Trends using Seasonal Kendall

This sub-page of the Data Analysis page displays results of specific tests on the data values from the Data Entry Sub-page.

This page contains the following controls / displays:

Analyte Drop-List

Location Drop-List

Group Drop-List

Confidence Level

Seasonal Kendall Estimate of Slope

VSP calculates Seasonal Kendall estimate of the slope for the selected data values.

VSP calculates the confidence interval on the non-parametric estimate of the slope.

Linear Regression

VSP conducts a least-squares linear regression on the selected data points in time.

Seasonal Kendall Test

VSP conducts the Seasonal Kendall (SK) test for monotonic trend for the selected data values. See the Seasonal Kendall design page for details on the SK test.

Testing for Global Trends

When all locations are selected from the Location Drop-list, a global trend test is conducted to see if trends differ by location or season. If trends differ by location then you should conduct Seasonal-Kendall tests for each location separately. If trends differ by season, then you should conduct a Mann-Kendall trend test for each season separately because the Seasonal-Kendall test results could be misleading.

Homogeneity of Trends in Different Seasons

When a single location is selected from the Location Drop-list, a homogeneity of trends test is conducted to see if trends differ by season. If trends differ by season, then you should conduct a Mann-Kendall trend test for each season separately because the Seasonal-Kendall test results could be misleading.

References:

Gilbert, R.O. 1987. Statistical Methods for Environmental Pollution Monitoring, Wiley, New York.