Cited by 81Soil Geostatistics and MappingSoil and Land Suitability AnalysisSpatial and Panel Data Analysis

Moving away from the geostatistical lamppost: why, where, and how does the spatial heterogeneity of soils matter?

Baveye, Philippe C., Laba, Magdeline·2015·Ecological Modelling

Integrity signals

Registry

Crossref · 10.1016/j.ecolmodel.2014.03.018

Cites

148 of 148 references verified0 citation errors · 0 not checkable

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  • Sample characteristics such as moisture content, particle size distribution and roughness of the soil surface can influence the outcome of spectroscopic analysis.

    “sample characteristics such as moisture content, particle size distribution and roughness of the soil surface can in fl uence the outcome of the analysis (Baveye and Laba, 2015; Stenberg et al., 2010).”

    From Soil quality – A critical review (2018) · cites this paper as Baveye and Laba, 2015

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Authors
Baveye, P. C., & Laba, M.
Affiliations
  • Rensselaer Polytechnic Institute (US)
  • Cornell University (US)
Corresponding author
Baveye, Philippe C.
Venue
Ecological Modelling
Publisher
Elsevier BV
Published
2015-02
Volume
298
Pages
24-38
ISSN
0304-3800 (ISSN-L)
OpenAlex
W2078675673
Cited by
81
References
150
Citations by year
2026: 5 · 2025: 5 · 2024: 5 · 2023: 2 · 2022: 5 · 2021: 8 · 2020: 12 · 2019: 5 · 2018: 12 · 2017: 8 · 2016: 3 · 2015: 9 · 2014: 2
FWCI
5.63
Type
journal article
Language
en
Open access
closed
Locations
  • Ecological Modelling (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
Agence Nationale de la Recherche
Topics
  • Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Soil and Land Suitability Analysis
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Keywords
soil heterogeneity, geostatistics, soil spatial variability, soil ecosystem services

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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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