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

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

References:

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. https://doi.org/10.1029/WR020i006p00727

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. https://doi.org/10.1002/env.507

General:

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

GAM:

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. https://doi.org/10.7717/peerj.6876

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. https://doi.org/10.1016/j.envsoft.2020.104949

Introduction to quantile gam:

Fasiolo M., Wood S. N., Goude Y., Nedellec R., https://cran.r-project.org/web/packages/qgam/vignettes/qgam.html

Examples of GAM for trends:

Gavin Simpson: https://fromthebottomoftheheap.net/blog/

Simpson, G.L., 2018. Modelling palaeoecological time series using generalized additive models. https://doi.org/10.1101/322248