Weston, David J. (2016) A framework for interpolating scattered data using space-filling curves. In: Boström, H. and Knobbe, A. and Soares, C. and Papapetrou, P. (eds.) Advances in Intelligent Data Analysis XV. Lecture Notes in Computer Science 9897. New York, U.S.: Springer International Publishing, pp. 249-260. ISBN 9783319463483.
|
Text
IDA2016Weston.pdf - Author's Accepted Manuscript Download (5MB) | Preview |
Abstract
The analysis of spatial data occurs in many disciplines and covers a wide variety activities. Available techniques for such analysis include spatial interpolation which is useful for tasks such as visualization and imputation. This paper proposes a novel approach to interpolation using space-filling curves. Two simple interpolation methods are described and their ability to interpolate is compared to several interpolation techniques including natural neighbour interpolation. The proposed approach requires a Monte-Carlo step that requires a large number of iterations. However experiments demonstrate that the number of iterations will not change appreciably with larger datasets.
Metadata
| Item Type: | Book Section |
|---|---|
| Additional Information: | 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. The final publication is available at Springer via the link above. |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Data Analytics, Birkbeck Institute for |
| Depositing User: | David Weston |
| Date Deposited: | 23 Nov 2016 10:59 |
| Last Modified: | 09 Aug 2023 12:38 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/15746 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
