Estimation of missing Ellenberg Indicator Values for tree species in South-eastern Europe: a comparison of methods

[1]  J. Lenoir,et al.  Ellenberg‐type indicator values for European vascular plant species , 2022, Journal of Vegetation Science.

[2]  G. Ståhl,et al.  Rapid Changes in Ground Vegetation of Mature Boreal Forests—An Analysis of Swedish National Forest Inventory Data , 2021, Forests.

[3]  P. Austin,et al.  Missing Data in Clinical Research: A Tutorial on Multiple Imputation , 2020, The Canadian journal of cardiology.

[4]  N. P. Utama,et al.  Class center-based firefly algorithm for handling missing data , 2020, Journal of Big Data.

[5]  R. Irizarry Cross validation , 2019, Introduction to Data Science.

[6]  M. Diekmann,et al.  With Ellenberg indicator values towards the north: Does the indicative power decrease with distance from Central Europe? , 2019, Journal of Biogeography.

[7]  Jonathan A C Sterne,et al.  Accounting for missing data in statistical analyses: multiple imputation is not always the answer , 2019, International journal of epidemiology.

[8]  G. Galasso,et al.  Ellenberg Indicator Values for the vascular flora alien to Italy. Electronic Supplementary File 1 , 2018 .

[9]  Chih-Fong Tsai,et al.  A class center based approach for missing value imputation , 2018, Knowl. Based Syst..

[10]  E. Welk,et al.  Revising Ellenberg's indicator values for continentality based on global vascular plant species distribution , 2017 .

[11]  W. Willner,et al.  Classification of European beech forests: a Gordian Knot? , 2017 .

[12]  K. Devos,et al.  Working with population totals in the presence of missing data comparing imputation methods in terms of bias and precision , 2017, Journal of Ornithology.

[13]  Zhongheng Zhang,et al.  Introduction to machine learning: k-nearest neighbors. , 2016, Annals of translational medicine.

[14]  P. Poschlod,et al.  Functional characterizations of Ellenberg indicator values – a review on ecophysiological determinants , 2016 .

[15]  Aki Vehtari,et al.  Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC , 2015, Statistics and Computing.

[16]  Mortaza Jamshidian,et al.  MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR) , 2014 .

[17]  F. Müller,et al.  The indicator side of ecosystem services , 2012 .

[18]  A. P. Schaffers,et al.  Too good to be true: pitfalls of using mean Ellenberg indicator values in vegetation analyses , 2012 .

[19]  M. Jamshidian,et al.  Tests of Homoscedasticity, Normality, and Missing Completely at Random for Incomplete Multivariate Data , 2010, Psychometrika.

[20]  Trevor Hastie,et al.  Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.

[21]  Max Kuhn,et al.  Building Predictive Models in R Using the caret Package , 2008 .

[22]  Shinichi Nakagawa,et al.  Missing inaction: the dangers of ignoring missing data. , 2008, Trends in ecology & evolution.

[23]  M. Kenward,et al.  Every missingness not at random model has a missingness at random counterpart with equal fit , 2008 .

[24]  A. Testi,et al.  An application case of ecological indicator values (Zeigerwerte) calculated with a simple algorithmic approach , 2007 .

[25]  G. Fanelli,et al.  Relative growth rate and hemerobiotic state in the assessment of disturbance gradients , 2004 .

[26]  Geert Molenberghs,et al.  A Local Influence Approach Applied to Binary Data from a Psychiatric Study , 2003, Biometrics.

[27]  J. Schafer,et al.  Missing data: our view of the state of the art. , 2002, Psychological methods.

[28]  A. P. Schaffers,et al.  Synecology of species-rich plant communities on roadside verges in the Netherlands , 2002 .

[29]  A. P. Schaffers,et al.  Reliability of Ellenberg indicator values for moisture, nitrogen and soil reaction: a comparison with field measurements , 2000 .

[30]  M. Hill,et al.  Extending Ellenberg's indicator values to a new area: an algorithmic approach , 2000 .

[31]  R. Tibshirani,et al.  Improvements on Cross-Validation: The 632+ Bootstrap Method , 1997 .

[32]  E. Maarel,et al.  Some remarks on disturbance and its relations to diversity and stability , 1993 .

[33]  Steve Juggins,et al.  Weighted averaging partial least squares regression (WA-PLS): an improved method for reconstructing environmental variables from species assemblages , 1993, Hydrobiologia.

[34]  Subir Ghosh,et al.  Statistical Analysis With Missing Data , 1988 .

[35]  Koenraad Van Meerbeek,et al.  Ecological Indicator Values for Europe (EIVE) 1.0 , 2023 .

[36]  Zoltán Botta-Dukát,et al.  European Vegetation Archive (EVA): an integrated database of European vegetation plots , 2016 .

[37]  C. Braak,et al.  Ecological amplitudes of plant species and the internal consistency of Ellenberg's indicator values for moisture , 2004, Vegetatio.

[38]  M. Diekmann Species indicator values as an important tool in applied plant ecology – a review , 2003 .

[39]  Robert Tibshirani,et al.  The Elements of Statistical Learning , 2001 .

[40]  C.J.F. ter Braak,et al.  Weighted Averaging Partial Least Squares regression (WA-PLS): definition and comparison with other methods for species-environment calibration , 1993 .

[41]  W. Werner,et al.  Indicator values of plants in Central Europe , 1991 .

[42]  R. Little A Test of Missing Completely at Random for Multivariate Data with Missing Values , 1988 .