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2023 - 07 - 09 - t17:35:05z
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https://creativecommons.org/licenses/by-sa/4.0/rdf
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13
优化的插值法与固定地点样品数据点吗?
l.z.lz
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2014 - 10 - 30 - t05:47:53z
2015 - 03 - 20 - t11:08:47z
< p >我想找到一个优化的空间插值方法,处理固定地点样本数据点。说如果我有固定地点采样站点和每天收集数据,然后使用这些数据来创建插值的表面。有方法,预处理这些采样站点之间的空间关系,然后将这种空间关系集成到插值方法加快整个插补过程?我用谷歌搜索了一些信息,但找不到我想要的。谁能让我在正确的方向吗?谢谢。< / p >
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l.z发表评论。lz优化插值方法与固定地点样品数据点吗?
l.z.lz
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2014 - 10 - 31 - t01:34:32z
2014 - 10 - 31 - t01:34:32z
@farrenthorpe谢谢。我会转发问题。
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l.z发表评论。lz优化插值方法与固定地点样品数据点吗?
l.z.lz
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2014 - 10 - 31 - t01:32:41z
2014 - 10 - 31 - t01:32:41z
@Isopycnal Oscillation: I don't have real data, what I'm trying to find is a method that will do preprocessing on input data sets if they are collected repeatedly on same sites. Instead of generating interpolation surfaces independently, the optimized method should be less time-consuming.