L. Soldaat
Ecology · 2007–2017
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 20 citations into it; #8,980 of 10,717 by trust here, #5,833 by citations
- Nature and Landscape Conservation — 18 citations into it; #5,150 of 6,941 by trust here, #3,350 by citations
- Statistics and Probability — 6 citations into it
Whom L. Soldaat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hans Visser
- Robert Fildes
- R. Gregory
- Rachel M. Fewster
- J. Andrew Royle
- A. V. van Strien
- S. T. Buckland
- P. Voříšek
- Jay M. Ver Hoef
Who trusts L. Soldaat overall
Papers from L. Soldaat's perspective
Ordered by how strongly the researchers L. Soldaat trusts endorse each paper. Same corpus, a different order for every researcher.
- Developing indicators for European birds (Philosophical Transactions of the Royal Society B: Biological Sciences)
- ANALYSIS OF POPULATION TRENDS FOR FARMLAND BIRDS USING GENERALIZED ADDITIVE MODELS
- Forecasting structural time series models and the kalman filter: Andrew Harvey, 1989, (Cambridge University Press), 554 pp., ISBN 0-521-32196-4
- Estimation and detection of flexible trends
- N‐Mixture Models for Estimating Population Size from Spatially Replicated Counts (Biometrics)
- Biotic Impoverishment and Homogenization in Unfragmented Forest Understory Communities
- A HIERARCHICAL ANALYSIS OF POPULATION CHANGE WITH APPLICATION TO CERULEAN WARBLERS
- Generalized Linear Models
- Monitoring the distribution of pond‐breeding amphibians when species are detected imperfectly
- Utility and limitations of species richness metrics for conservation planning
Their papers
- A Monte Carlo method to account for sampling error in multi-species indicators (2017) — 59 citations
- Desirable mathematical properties of indicators for biodiversity change (2012) — 106 citations
- Trend estimation in populations with imperfect detection (2009) — 248 citations
- Smoothing and trend detection in waterbird monitoring data using structural time-series analysis and the Kalman filter (2007) — 61 citations