Video från seminariet ; Statistical methods for evaluation of temporal trends in environmental data

Publicerad: 16 september 2021

Det här är en inspelning från seminariet, presenterat av Claudia von Brömssen den 27 augusti.

Evaluation of temporal trends in environmental data

Claudia von Brömssen, SLU, presenterar Statistical methods for evaluation of temporal trends in environmental data.

Seminariet är en del av seminarieserien Environmental Statistics – a Statistics@SLU seminar series


Mann-Kendall tests:

Hirsch, R.M., Slack, J.R., 1984. A Nonparametric Trend Test for Seasonal Data With Serial Dependence. Water Resour. Res. 20, 727–732.

With covariates:

Libiseller, C., Grimvall, A., 2002. Performance of partial Mann-Kendall tests for trend detection in the presence of covariates. Environmetrics 13, 71–84.


Chandler, R.E., Scott, E.M., 2011. Statistical Methods for trend detection and analysis in the Environmental Sciences. John Wiley & Sons, Ltd.


Wood, S.N., 2017. Generalized additive models: an introduction with R, Second edition. ed, Chapman & Hall/CRC texts in statistical science. CRC Press/Taylor & Francis Group, Boca Raton.

Joint trend lines over several sites/samples:

Pedersen, E.J., Miller, D.L., Simpson, G.L., Ross, N., 2019. Hierarchical generalized additive models in ecology: an introduction with mgcv. PeerJ 7, e6876.

Visualisation of trends for several series:

von Brömssen, C., Betnér, S., Fölster, J., Eklöf, K., 2021. A toolbox for visualizing trends in large-scale environmental data. Environ. Model. Softw. 136, 104949.

Introduction to quantile gam:

Fasiolo M., Wood S. N., Goude Y., Nedellec R.,

Examples of GAM for trends:

Gavin Simpson:

Simpson, G.L., 2018. Modelling palaeoecological time series using generalized additive models.