Video från seminariet ; Statistical methods for evaluation of temporal trends in environmental data
This is a recording from the seminar presented by Claudia von Brömssen at the 27th of August. It is part of Environmental Statistics - a Statistics@SLU seminar series about statistics for environmental monitoring and assessment.
This seminar is part of 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