N. Reid
Ecology · with Montgomery · 2011–2016
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 38 citations into it
- Ecological Modeling — 25 citations into it
- Nature and Landscape Conservation — 22 citations into it
- Statistics and Probability — 10 citations into it
- Ecology, Evolution, Behavior and Systematics — 8 citations into it
- Artificial Intelligence — 6 citations into it
Whom N. Reid trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from N. Reid's perspective
Ordered by how strongly the researchers N. Reid trusts endorse each paper. Same corpus, a different order for every researcher.
- R: A language and environment for statistical computing.
- The importance of biotic interactions for modelling species distributions under climate change
- Competitive coexistence in spatially structured environments: a synthesis
- Distance software: design and analysis of distance sampling surveys for estimating population size
- Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)
- The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling (Biological Reviews of The Cambridge Philosophical Society)
- Estimating animal density using camera traps without the need for individual recognition
- Information Theory and an Extension of the Maximum Likelihood Principle
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Quantifying the sensitivity of camera traps: an adapted distance sampling approach
Their papers
- An invasive‐native mammalian species replacement process captured by camera trap survey random encounter models (2016) — 94 citations
- Modelling the influence of biotic factors on species distribution patterns (2016) — 84 citations
- Applying species distribution modelling to identify areas of high conservation value for endangered species: A case study using Margaritifera margaritifera (L.) (2011) — 146 citations