Thomas Nauss

Nature and Landscape Conservation · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 30 citations into it
• Ecological Modeling — 19 citations into it
• Environmental Engineering — 15 citations into it; #2,221 of 5,479 by trust here, #3,944 by citations
• Ecology — 13 citations into it; #8,166 of 10,717 by trust here, #10,333 by citations
• Statistics and Probability — 6 citations into it

Whom Thomas Nauss trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Max Kuhn
2. Alexander Brenning

Who trusts Thomas Nauss overall

1. Hanna Meyer
2. Alexandre M. J.-C. Wadoux

Papers from Thomas Nauss's perspective

Ordered by how strongly the researchers Thomas Nauss trusts endorse each paper. Same corpus, a different order for every researcher.

1. Applied Predictive Modeling
2. Testing the predictive performance of distribution models
3. Assessing transferability of ecological models: an underappreciated aspect of statistical validation
4. Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation (Environmental Modelling & Software)
5. Spatial prediction models for landslide hazards: review, comparison and evaluation
6. Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
7. Application of machine learning methods to spatial interpolation of environmental variables (Environmental Modelling & Software)
8. Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (PeerJ)
9. caret: Classification and Regression Training
10. Machine learning for predicting soil classes in three semi-arid landscapes

Their papers

• Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction (2019) — 401 citations
• Arthropod decline in grasslands and forests is associated with landscape-level drivers (2019) — 1,054 citations
• Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation (2018) — 446 citations
• Temperature versus resource constraints: which factors determine bee diversity on Mount Kilimanjaro, Tanzania?: Bee species richness on Mt Kilimanjaro (2015) — 104 citations