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Drawing Contours from Arbitrary Data Points
Abstract
This paper describes a computer method for drawing, on an incremental plotter, a set of contours when the height is available only for some arbitrary collection of points. The method is based on a distance-weighted, least-squares approximation technique, with the weights varying with the distance of the data points. It is suitable not only for mathematically derived data, but also for data of geographical and other non-mathematical origins, for which numerical approximations are not usually appropriate. The paper includes a comparison with other approximation techniques.
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Citations
Cited by
Interpreting magnetic fields of the brain: minimum norm estimates
Hämäläinen, M. S., & Ilmoniemi, R. J. (1994) · Medical & Biological Engineering & Computing · doi:10.1007/bf02512476 · Cited by 1,995
Scattered data interpolation: tests of some methods
Franke, R. (1982) · Mathematics of Computation · doi:10.1090/s0025-5718-1982-0637296-4 · Cited by 1,895
Spatial data analysis: theory and practice
(2004) · Choice Reviews Online · doi:10.5860/choice.41-3486 · Cited by 965
Software for C1 Surface Interpolation
Lawson, C. L. (1977) · Mathematical Software · doi:10.1016/b978-0-12-587260-7.50011-x · Cited by 730
Communicability in complex networks
Estrada, E., & Hatano, N. (2008) · Physical Review E · doi:10.1103/physreve.77.036111 · Cited by 719
Metadata
- Authors
- McLain, D. H.
- Venue
- The Computer Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 1974-11-01
- Volume
- 17
- Issue
- 4
- Pages
- 318-324
- ISSN
- 0010-4620 (ISSN-L)
- 1460-2067
- OpenAlex
- W2089367368
- Cited by
- 442
- References
- 0
- FWCI
- 3.85
- Type
- journal article
- Language
- en
- Open access
- closed
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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: Drawing Contours from Arbitrary Data Points. https://app.cochat.ai/papers/10.1093/comjnl/17.4.318
- The paper
- McLain, D. H. (1974). Drawing Contours from Arbitrary Data Points. The Computer Journal. https://doi.org/10.1093/comjnl/17.4.318
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.
