Richard J. Aspinall
Ecological Modeling · 2006
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 18 citations into it; #1,813 of 2,530 by trust here, #961 by citations
- Nature and Landscape Conservation — 18 citations into it; #5,027 of 6,941 by trust here, #2,469 by citations
Whom Richard J. Aspinall trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael P. Austin (in Nature and Landscape Conservation)
- Wilfried Thuiller (in Ecological Modeling)
- Eric R. Ziegel (in Statistics and Probability)
- Simon N. Wood (in Applied Mathematics)
- M. Boyce (in Ecological Modeling)
Who trusts Richard J. Aspinall
- Antoine Guisan (in Ecological Modeling)
- Andrew J. Campomizzi (in Ecological Modeling)
Papers from Richard J. Aspinall's perspective
Ordered by how strongly the researchers Richard J. Aspinall trusts endorse each paper. Same corpus, a different order for every researcher.
- Modelling distribution and abundance with presence‐only data
- New developments in museum-based informatics and applications in biodiversity analysis. (Trends in Ecology & Evolution)
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD‐GROWTH INDIGENOUS FORESTS
- On the relationship between niche and distribution
- Maximum entropy modeling of species geographic distributions
- BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
- Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling (Biodiversity and Conservation)
- Community Assembly, Niche Conservatism, and Adaptive Evolution in Changing Environments (INTERNATIONAL JOURNAL PLANT SCIENCES)
- Model selection in ecology and evolution. (Trends in Ecology & Evolution)
Their papers
- Making better biogeographical predictions of species’ distributions (2006) — 524 citations