Integration of spatial statistical methods for regional analysisin a data rich environment

本研究结合空间统计学和定量地理学的空间分析方法，提出了新的区域分析方法，并对其适用性进行了检验。首先，提出了一种新的点属性时空插值模型。实验结果表明，新模型比原有模型具有更高的插值精度；但结果表明，该方法计算时间长，缺乏实用性。其次，提出了一种具有柔性形状的点事件时空聚类检测新方法，并通过实验验证了该方法的适用性。

This study integrated spatial analysis methods by spatial statistics and quantitative geography, proposed new regional analysis methods, and checked their applicability. First, a new model for spatio-temporal interpolation of point attributes was proposed. It was confirmed that the new model could acquire higher interpolation precision than the previous models; however, it revealed that it required considerable calculation time and lacked in practicability. Second, a new method for detecting spatio-temporal clusters of point events which have flexible shape was proposed, and its applicability was confirmed by the experiment.