Thomas A. Groen
Ecological Modeling · 2011–2016
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 80 citations into it
- Nature and Landscape Conservation — 67 citations into it
- Ecology — 56 citations into it
- Artificial Intelligence — 12 citations into it
- Ecology, Evolution, Behavior and Systematics — 12 citations into it
- Statistics and Probability — 10 citations into it
- Genetics — 9 citations into it
Whom Thomas A. Groen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Jane Elith
- Catherine H. Graham
- Miguel B. Araújo
- Michael P. Austin
- C. Meynard
- Wilfried Thuiller
- Antoine Guisan
- Steven J. Phillips
- C. Chatfield
Papers from Thomas A. Groen's perspective
Ordered by how strongly the researchers Thomas A. Groen trusts endorse each paper. Same corpus, a different order for every researcher.
- Predictive habitat distribution models in ecology
- Greedy function approximation: A gradient boosting machine.
- New developments in museum-based informatics and applications in biodiversity analysis. (Trends in Ecology & Evolution)
- Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
- An evaluation of methods for modelling species distributions
- Ensemble forecasting of species distributions. (Trends in Ecology & Evolution)
- Effects of species’ ecology on the accuracy of distribution models
- Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
- Random Forests
- The Nature of Statistical Learning Theory
Their papers
- Transferability of species distribution models: The case of Phytophthora cinnamomi in Southwest Spain and Southwest Australia (2016) — 169 citations
- Retrieval of leaf water content spanning the visible to thermal infrared spectra (2014) — 116 citations
- Where is positional uncertainty a problem for species distribution modelling (2014) — 1,676 citations
- Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling (2011) — 129 citations