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The construction of a data point concentration dependent weight function for interpolation to rainfall grid fields

机译:数据点浓度相关权函数的构建,用于插值到降雨网格字段

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Several interpolation algorithms have been developed to create homogeneous gridfields from heterogeneously distributed data. A shortcoming in most of these algorithms is the assumption that data field concentrations are fairly homogeneous over the grid field area. The method for constructing the weight functions as discussed here overcomes this problem by including a variable dependent on the concentration of data points in the weight function. A rainfall data field for South Africa is compiled by this algorithm. The concentration of climate stations in South Africa varies significantly.
机译:已经开发了几种插值算法,以根据异构分布的数据创建均匀的网格域。这些算法中的大多数缺点是假设数据场集中在网格场区域内相当均匀。如这里讨论的用于构造权重函数的方法通过在权重函数中包括取决于数据点的集中度的变量来克服了这个问题。用此算法编译了南非的降雨数据字段。南非的气候站集中度差异很大。

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