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Geostatistics: Modeling Spatial Uncertainty
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Citations
Cited by
Data assimilation in the geosciences: An overview of methods, issues, and perspectives
Carrassi, A., Bocquet, M., Bertino, L., & Evensen, G. (2018) · WIREs Climate Change · doi:10.1002/wcc.535 · Cited by 867
Texture Feature Extraction Methods: A Survey
Humeau-Heurtier, A. (2019) · IEEE Access · doi:10.1109/access.2018.2890743 · Cited by 521
Machine learning-based global maps of ecological variables and the challenge of assessing them
Meyer, H., & Pebesma, E. (2022) · Nature Communications · doi:10.1038/s41467-022-29838-9 · Cited by 310
Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings
Diggle, P. J., & Giorgi, E. (2016) · Journal of the American Statistical Association · doi:10.1080/01621459.2015.1123158 · Cited by 56
Efficient design of geographically-defined clusters with spatial autocorrelation
I. Watson, S. (2022) · Journal of Applied Statistics · doi:10.1080/02664763.2021.1941807 · Cited by 16
Metadata
- Authors
- Chilès, J., & Delfiner, P.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 2012-02-23
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W4232329630
- Cited by
- 1,113
- References
- 0
- FWCI
- 71.19
- Type
- book
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Geostatistics: Modeling Spatial Uncertainty. https://app.cochat.ai/papers/10.1002/9781118136188
- The paper
- Chilès, J., & Delfiner, P. (2012). Geostatistics: Modeling Spatial Uncertainty. Wiley Series in Probability and Statistics. https://doi.org/10.1002/9781118136188
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
