Bibliografie
- Anderson, W. B. (2025). sdmTMB: an R package for fast, flexible, and user-friendly generalized linear mixed effects models with spatial and spatiotemporal random fields. Journal of Statistical Software.
- CBS, P. R. (2023). Vegetatie van de duinen, 1999-2020. CLO.
- Chytrý. (2001). Phytosociological data give biased estimates of species richness. Journal of Vegetation Science.
- Damgaard. (2014). Estimating mean plant cover from different typen of cover data: a coherent statistical framework. Ecosphere.
- Gräler, P. &. (2016). Spatio-Temporal Interpolation using gstat. The R Journal.
- Michalcová, L. C. (2011). Bias in vegetation databases? A comparison of stratified-random and preferential sampling. Journal of Vegetation Science.
- Plummer. (2003). JAGS: A Program for Analysis of Bayesian Graphical Models Using Gibbs Sampling. Proceedings of the 3rd International Workshop on Distributed Statistical Computing.
- Strien van, I. &. (2024). Trends in plant cover derived from vegetation plot data using ordinal zero-augmented beta regression. Journal of Vegetation Science.