Cited by 111Species Distribution and Climate ChangeSpatial and Panel Data AnalysisEcology and Vegetation Dynamics Studies

Regression models for spatial prediction: their role for biodiversity and conservation

Lehmann, A., Overton, J.McC., Austin, M.P.·2002·Biodiversity & Conservation

Integrity signals

Registry

Crossref · 10.1023/a:1021354914494

Cites

31 of 31 references verified0 citation errors · 0 not checkable

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  • Spatially explicit linear regression models have been conventionally used to predict species and community distribution based on explanatory variables such as climate and topography.

    “Spatially explicit linear regression models have been conventionally used to predict species and community distribution based on explanatory variables such as climate and topography124,125.”

    From Perspectives in machine learning for wildlife conservation (2022) · cites this paper as [125]

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Authors
Lehmann, A., Overton, J. M., & Austin, M. P.
Affiliations
  • info fauna (CH)
  • Commonwealth Scientific and Industrial Research Organisation (AU)
Corresponding author
Lehmann, A.
Venue
Biodiversity & Conservation
Published
2002-12
Volume
11
Issue
12
Pages
2085-2092
ISSN
  • 0960-3115 (ISSN-L)
  • 1572-9710
OpenAlex
W1531035825
Cited by
111
References
31
Citations by year
2026: 2 · 2025: 2 · 2023: 1 · 2022: 4 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 4 · 2016: 2 · 2015: 5 · 2014: 2 · 2013: 9 · 2012: 5
FWCI
3.40
Type
journal article
Language
en
Open access
closed
Locations
Biodiversity and Conservation (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
Keywords
regression models, spatial prediction, biodiversity assessment, conservation management, spatially explicit analysis, computational power, biodiversity conservation

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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