The DOI matches its Crossref record.
Encyclopedia of Environmetrics
Abstract
The aim of a soil survey is to predict soil conditions at unvisited sites. In traditional soil survey, the use of statistics is principally for post hoc evaluation of the quality of the choropleth map in terms of purity and within- and between-map unit variance of soil properties. Probability sampling designs have been proposed for this. Pedometrical soil surveys treat all phases of the soil survey explicitly as a statistical problem. This had led to the adoption and development of, amongst other techniques, optimized sampling for mapping purposes, automated fuzzy classification of soil profiles, and geostatistical interpolation. Typically covariates related to the soil-forming factors and derived from remotely sensed images or digital elevation models are integrated into the geostatistical prediction
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Fission‐Fusion Dynamics: New Research Frameworks
Aureli, F., Schaffner, C. M., Boesch, C., Bearder, S. K., Call, J., Chapman, C. A., Connor, R., Fiore, A. D., Dunbar, R. I. M., Henzi, S. P., et al. (2008) · Current Anthropology · doi:10.1086/586708 · Cited by 1,066
Functional biotic homogenization of bird communities in disturbed landscapes
Devictor, V., Julliard, R., Clavel, J., Jiguet, F., Lee, A., & Couvet, D. (2008) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00364.x · Cited by 463
The Double Pareto-Lognormal Distribution—A New Parametric Model for Size Distributions
Reed, W. J., & Jorgensen, M. (2004) · Communications in Statistics - Theory and Methods · doi:10.1081/sta-120037438 · Cited by 437
A comparison of methods for the statistical analysis of spatial point patterns in plant ecology
Perry, G. L. W., Miller, B. P., & Enright, N. J. (2006) · Plant Ecology · doi:10.1007/s11258-006-9133-4 · Cited by 386
Comparing species abundance models
Potts, J. M., & Elith, J. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.05.025 · Cited by 381
Metadata
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2001-10-31
- OpenAlex
- W4299588907
- Cited by
- 1,238
- References
- 0
- Type
- reference entry
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Encyclopedia of Environmetrics. https://app.cochat.ai/papers/10.1002/9780470057339
- The paper
- Encyclopedia of Environmetrics. (2001). Wiley eBooks. https://doi.org/10.1002/9780470057339
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.