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A two-dimensional interpolation function for irregularly-spaced data
Abstract
In many fields using empirical areal data there arises a need for interpolating from irregularly-spaced data to produce a continuous surface. These irregularly-spaced locations, hence referred to as “data points,” may have diverse meanings: in meterology, weather observation stations; in geography, surveyed locations; in city and regional planning, centers of data-collection zones; in biology, observation locations. It is assumed that a unique number (such as rainfall in meteorology, or altitude in geography) is associated with each data point.
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Cited by
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Alexander, L. V., Zhang, X., Peterson, T. C., Caesar, J., Gleason, B., Klein Tank, A. M. G., Haylock, M., Collins, D., Trewin, B., Rahimzadeh, F., et al. (2006) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2005jd006290 · Cited by 4,492
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Dunn, R. J. H., Alexander, L. V., Donat, M. G., Zhang, X., Bador, M., Herold, N., Lippmann, T., Allan, R., Aguilar, E., Barry, A. A., et al. (2020) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2019jd032263 · Cited by 480
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Metadata
- Authors
- Shepard, D.
- Venue
- Proceedings of the 1968 23rd ACM national conference on -
- Publisher
- ACM Press
- Published
- 1968
- Pages
- 517-524
- OpenAlex
- W2147169375
- Cited by
- 5,079
- References
- 0
- FWCI
- 45.00
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Shepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 1968 23rd ACM national conference on -. https://doi.org/10.1145/800186.810616
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
