A comparison of spatial interpolation methods to estimate continuous wind speed surfaces using irregularly distributed data from England and Wales
Abstract
Seven methods of spatial interpolation were compared to determine their suitability for estimating daily mean wind speed surfaces, from data recorded at nearly 190 locations across England and Wales. The eventual purpose of producing such surfaces is to help estimate the daily spread of pathogens causing crop diseases as they move across regions. The interpolation techniques included four deterministic and three geostatistical methods. Quantitative assessment of the continuous surfaces showed that there was a large difference between the accuracy of the seven interpolation methods and that the geostatistical methods were superior to deterministic methods. Further analyses, testing the reliability of the results, showed that measurement accuracy, density, distribution and spatial variability had a substantial influence on the accuracy of the interpolation methods. Independent wind speed data from ten other dates were used to confirm the robustness of the best interpolation methods. © Crown copyright 2007. Reproduced with the permission of Her Majesty's Stationery Office. Published by John Wiley & Sons, Ltd.
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The geostatistical approach is considered a superior interpolation method to derive weather variables to trap locations.
“Amongst other methods, the geostatistical approach is considered a superior interpolation method in order to derive weather variables to trap locations [41].”
From More than 75 percent decline over 27 years in total flying insect biomass in protected areas (2017) · cites this paper as [41]
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More than 75 percent decline over 27 years in total flying insect biomass in protected areas
Hallmann, C. A., Sorg, M., Jongejans, E., Siepel, H., Hofland, N., Schwan, H., Stenmans, W., Müller, A., Sumser, H., Hörren, T., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0185809 · Cited by 3,499 · see citing works
- Authors
- Luo, W., Taylor, M. C., & Parker, S. R.
- Corresponding author
- Taylor, M. C.
- Venue
- International Journal of Climatology
- Publisher
- Wiley
- Published
- 2007-08-02
- Volume
- 28
- Issue
- 7
- Pages
- 947-959
- ISSN
- 0899-8418 (ISSN-L)
- 1097-0088
- OpenAlex
- W2045600648
- Cited by
- 273
- References
- 39
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 8 · 2023: 17 · 2022: 15 · 2021: 23 · 2020: 11 · 2019: 35 · 2018: 19 · 2017: 22 · 2016: 17 · 2015: 24 · 2014: 23 · 2013: 14 · 2012: 8
- FWCI
- 6.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Climatology (publishedVersion)
- Funders
- Met Office
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Precipitation Measurement and Analysis
- Keywords
- spatial interpolation, wind speed, geostatistical interpolation, deterministic interpolation, interpolation accuracy, irregularly distributed data, spatial variability, measurement accuracy, pathogen spread, crop diseases, England and Wales
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