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The Research on Spatial Data Mining Module Based on Geostatistics Analysis Model for Decision Support System

机译:基于决策支持系统地稳济分析模型的空间数据挖掘模块研究

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In this paper the spatial data mining module based on geostatistics analysis was developed to optimize groundwater level observation networks and improve the quality rather than the quantity of the obtained data, which includes the application of the kriging methodogy and the evaluation of its results in conjuction with the statistical analysis of the available groundwater level data. This procedure that involves different analysis methods of the available data, such as estimation of the interpolation error, data cross-validation and time variation, is applied to evaluation and optimization of Shule river basin in order to demonstrate the potential of improvement of the quality of the observation network.
机译:在本文中,开发了基于地统计学分析的空间数据挖掘模块,以优化地下水位观察网络,提高质量,而不是所获得的数据的数量,包括克里明方法的应用和其结果与其相同的结果的评估可用地下水位数据的统计分析。该过程涉及可用数据的不同分析方法,例如估计插值误差,数据交叉验证和时间变化,应用于Shule River盆地的评估和优化,以证明提高质量的潜力观察网络。

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