Joaquín Bedia
Ecological Modeling · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 24 citations into it
- Nature and Landscape Conservation — 24 citations into it
- Ecology — 18 citations into it
Whom Joaquín Bedia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antoine Guisan
- A. Jiménez‐Valverde
- Jorge M. Lobo
- Ron Kohavi
- Philip M. Dixon
- R. P. Anderson
- Miguel B. Araújo
- Steven J. Phillips
- Bernhard Schölkopf
- Mathieu Vrac
Papers from Joaquín Bedia's perspective
Ordered by how strongly the researchers Joaquín Bedia trusts endorse each paper. Same corpus, a different order for every researcher.
- Predictive habitat distribution models in ecology
- Maximum entropy modeling of species geographic distributions
- Real vs. artefactual absences in species distributions: tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuela
- An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
- Selecting areas for species persistence using occurrence data
- Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns
- Assessing the effects of pseudo-absences on predictive distribution model performance
- Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?
- R: A language and environment for statistical computing.
- Effects of sample size on the performance of species distribution models
Their papers
- An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets (2020) — 556 citations
- Direct and component-wise bias correction of multi-variate climate indices: the percentile adjustment function diagnostic tool (2018) — 60 citations
- An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment (2016) — 256 citations
- A framework for species distribution modelling with improved pseudo-absence generation (2015) — 164 citations