The DOI matches its Crossref record.
Local Models for Spatial Analysis
Abstract
Focusing on solutions, this second edition provides guidance to a wide variety of real-world problems. The text presents a complete introduction to key concepts and a clear mapping of the methods discussed. It also explores connections between methods. New chapters address spatial patterning in single variables and spatial relations. In addition, every chapter now includes links to key related studies. The author clearly distinguishes between local and global methods and provides more detailed coverage of geographical weighting, image texture measures, local spatial autocorrelation, and multic
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Citations
Cited by
Ismail, H. Y., Shirazian, S., Skoretska, I., Mynko, O., Ghanim, B., Leahy, J. J., Walker, G. M., & Kwapinski, W. (2019) · Waste Management · doi:10.1016/j.wasman.2018.12.044 · Cited by 55
Knitter, D., & Nakoinz, O. (2018) · Natural Science in Archaeology · doi:10.1007/978-3-319-25316-9_4 · Cited by 15
Metadata
- Authors
- Lloyd, C.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2006-10-25
- OpenAlex
- W2143032577
- Cited by
- 313
- References
- 0
- FWCI
- 11.91
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Local Models for Spatial Analysis. https://app.cochat.ai/papers/10.1201/9780203022825
- The paper
- Lloyd, C. (2006). Local Models for Spatial Analysis. CRC Press eBooks. https://doi.org/10.1201/9780203022825
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.
