Jürgen Niedballa
Ecology · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 33 citations into it
- Ecology, Evolution, Behavior and Systematics — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Jürgen Niedballa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. Efford
- Jeffrey L. Laake
- J. Andrew Royle
- Martin S. Ridout
- Mathias Tobler
- D. MacKenzie
- A. C. Burton
- S. Silver
- M. Linkie
- Jorge M. Lobo
Papers from Jürgen Niedballa's perspective
Ordered by how strongly the researchers Jürgen Niedballa trusts endorse each paper. Same corpus, a different order for every researcher.
- A hierarchical model for spatial capture-recapture data. (Ecology)
- Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. (Ecological Applications)
- Density estimation in live‐trapping studies
- Maximum entropy modeling of species geographic distributions
- Five (or so) challenges for species distribution modelling
- The use of camera traps for estimating jaguar Panthera onca abundance and density using capture/recapture analysis (Oryx)
- A SYSTEMATIC ANALYSIS OF FACTORS AFFECTING THE PERFORMANCE OF CLIMATIC ENVELOPE MODELS
- Applied Logistic Regression: Hosmer/Applied Logistic Regression
- An evaluation of camera traps for inventorying large‐ and medium‐sized terrestrial rainforest mammals
- WHAT ARE THE ISSUES WITH PRESENCE–ABSENCE DATA FOR WILDLIFE MANAGERS?
Their papers
- camtrapR: an R package for efficient camera trap data management (2016) — 420 citations
- The importance of correcting for sampling bias in MaxEnt species distribution models (2013) — 1,177 citations