John A. Silander

Nature and Landscape Conservation · 2005–2018

A researcher in the Science corpus: 9 papers; trusts 37 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 79 citations into it; #2,793 of 6,941 by trust here, #1,633 by citations
• Ecological Modeling — 71 citations into it; #1,016 of 2,530 by trust here, #707 by citations
• Ecology — 58 citations into it
• Ecology, Evolution, Behavior and Systematics — 38 citations into it
• Global and Planetary Change — 27 citations into it
• Statistics and Probability — 24 citations into it
• Artificial Intelligence — 19 citations into it
• Economics and Econometrics — 9 citations into it

Whom John A. Silander trusts overall

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

1. Robert Tibshirani
2. Julian Besag
3. Rune Halvorsen
4. Steven J. Phillips
5. James S. Clark
6. David I. Warton
7. Antoine Guisan
8. Alan E. Gelfand
9. Vera Pawlowsky-Glahn
10. David J. Spiegelhalter

Who trusts John A. Silander overall

1. Jane A. Catford
2. Tomislav Hengl

Papers from John A. Silander's perspective

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

1. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
2. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
3. Predictive habitat distribution models in ecology
4. Regression Shrinkage and Selection via the Lasso
5. Predicting the Geography of Species’ Invasions via Ecological Niche Modeling (The Quarterly review of biology)
6. Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling (Biodiversity and Conservation)
7. A statistical explanation of MaxEnt for ecologists
8. Ecological and Evolutionary Responses to Recent Climate Change
9. Comparing five modelling techniques for predicting forest characteristics
10. Spatial Interaction and the Statistical Analysis of Lattice Systems

Their papers

• Modelling species diversity through species level hierarchical modelling (2005) — 158 citations
• Predicting autumn phenology: How deciduous tree species respond to weather stressors (2018) — 138 citations
• A comparison of Maxlike and Maxent for modelling species distributions (2014) — 120 citations
• On using integral projection models to generate demographically driven predictions of species' distributions: development and validation using sparse data (2014) — 161 citations
• Spatial Regression Modeling for Compositional Data With Many Zeros (2013) — 56 citations
• Identifying hotspots for plant invasions and forecasting focal points of further spread (2009) — 98 citations
• The role of land-use history in major invasions by woody plant species in the northeastern North American landscape (2009) — 92 citations
• Spatial and interspecific variability in phenological responses to warming temperatures (2009) — 240 citations
• Building statistical models to analyze species distributions. (2006) — 385 citations