首页> 外文会议>International Conference on Information Science and Control Engineering >TWO APPROACHES TO BLENDING SPATIAL WEIGHTS AND TEMPORAL WEIGHTS IN CALCULATING SPATIOTEMPORAL AUTOCORRELATION
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TWO APPROACHES TO BLENDING SPATIAL WEIGHTS AND TEMPORAL WEIGHTS IN CALCULATING SPATIOTEMPORAL AUTOCORRELATION

机译:在计算时空自相关时混合空间重量和时间重量的两种方法

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Since Moran's seminal paper on an index to measure spatial autocorrelation among a set of geographic objects, spatial autocorrelation coefficients have been widely used in many research and application fields. In this paper, we provide detailed reasoning for indices for measuring spatiotemporal autocorrelation. We first briefly highlight the classic Moran's Index for measuring spatial autocorrelation. Next we introduce two methods that we used to blend spatial and temporal weights. Also the simulation experiment was adopted to evaluate the difference between the two methods.
机译:由于莫兰在一组地理对象中测量空间自相关的索引,因此在许多研究和应用领域中广泛使用了空间自相关系数。在本文中,我们为测量时空自相关的指标提供了详细的推理。我们首先简要介绍了经典莫兰的衡量空间自相关的索引。接下来我们介绍了两种方法,我们用于混合空间和时间权重。还采用了仿真实验来评估两种方法之间的差异。

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