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| | | | Spatial interpolation | |
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| Spatial interpolation |
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The spatial interpolation of agroclimatic data
aims at estimating the value of rainfall, temperature, or any other
agroclimatic parameter at a given site based on the observations
at neighbouring locations.
This is a problem operational agroclimatology and agrometeorology
are regularly confronted with, for instance when estimating missing
data. Area averaging, the estimation of missing data and gridding
are among the most useful applications of spatial interpolation
techniques to agroclimatology and agrometeorology.
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