DEVELOPMENT AND APPLICATION OF SPATIOTEMPORAL ANALYSIS METHODS IN SPATIAL INFORMATION SCIENCE

这项研究开发了一套在时空域中分析空间对象的方法，这些方法不能用现有的空间或时间方法来完全分析。本研究选取了四种常用的空间对象来表征空间现象：L)点、线、面和面。在方法开发过程中，经验应用也是并行进行的。点的分析是基于对其对应曲面的分析：通过空间平滑将点转换为曲面，并使用峰、坑和COLS的曲面分析方法进行分析。这种方法可以同时检测点分布的局部和全局模式，如果将其与地理信息系统中的图形分析相结合，则效率更高。在线条分析中，链接被用作描述随时间变化的基元。根据时间变化对每个链路进行定量评估，从而对网络的整体变化进行评估。该方法特别适用于分析线段的离散变化，如路网的变化。与线段一样，多边形的分析也采用基元分解的方法--将一个多边形分布的变化分解为一组单独的多边形的变化。将该方法应用到便利店的市场面积分析中，得到了一些有用的经验结果，证明了该方法的有效性。表面的分析是基于由两种时空奇点自然定义的时空镶嵌。这种方法给我们提供了对一个常见的时空现象的两种不同的观点，这为不同领域分别研究的空间分析和时间分析提供了一种可能的途径。

This study developed a set of methods for analyzing spatial objects in the spatiotemporal domain that cannot be fully analyzed by existing spatial or temporal methods. This study chose four types of spatial objects frequently used in representing spatial phenomena: l) points, 2) lines, 3) polygons, and 4) surfaces. Along method development empirical applications were also done in parallel.Analysis of points is based on analysis of their corresponding surface: points are converted into a surface by spatial smoothing and analyzed by a surface analysis method which uses peaks, pits, and cols. This method can detect both local and global patterns in point distributions and works more efficiently if it is linked to graphical analysis in GIS.In analysis of lines links are used as primitive elements to describe change over time. Each link is quantitatively evaluated in terms of temporal change, which leads to evaluation of the whole change of a network. This method is appropriate especially for analysis of discrete change of lines such as change of road networks.As well as lines, polygons are analyzed by the primitive decomposition approach- change of a polygon distribution is decomposed into a set of changes of individual polygons. Application of this method to market area analysis of convenience stores yielded some useful empirical findings which demonstrated the validity of the method.Analysis of surfaces is based on spatiotemporal tessellations naturally defined from two types of spatiotemporal singularities. This method gives us two different viewpoints on a common spatiotemporal phenomenon, which shows one possible way of combining spatial and temporal analyzes that have been studied separately in different fields.