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- Update:
- 2020-10-13
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Description: Inverse distance weighted interpolation, IDW (inverse distance weight) [1], can also be called inverse distance multiplication method. It is a weighted average interpolation method, which can be used for precise or smooth interpolation. The square parameter controls how the weight coefficient decreases with the distance from a grid node. For a larger power, the nearest data points are given a higher weight share, and for a smaller power, the weight is evenly distributed to each data point.
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Filename | Size | Date |
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IDW\IDW.m | 843 | 2010-06-10
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IDW\基于插值的雨量预报评价模型.pdf | 161521 | 2009-06-29
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IDW\空间插值方法汇总.txt | 5171 | 2010-06-10
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IDW | 0 | 2020-10-10 |