A method of plotting spatiotemporal change patterns using grid-based data

摘要

The present invention is for setting a schematic standard for optimizing the visibility and readability of map information for the "map library" dataset, transformation and fusion grid, and time series analysis grid including basic information, typhoon information, and typhoon risk area convergence information composition index. as, In a system consisting of a large number of information related to natural disasters, a program for predicting storm and flood damage based on the information, an operating computer, and a monitor for simulating storm and flood damage, the program performs the following process characterized in that 1) When a lot of information related to the natural disaster is introduced, it is a process of constructing a "map library" dataset by selecting source data such as administrative boundary information of basic information and typhoon information, and the administrative boundary information of the basic information is It is not used by itself, but is mainly intended to be used simultaneously with other layers, and is mainly used to check which administrative districts features of other layers are included in. The process of setting up to 2) Basic grid transformation of vector information of points, lines, and planes for the "map library" dataset, and fusion of multiple transformed grids into one grid, but additionally adding metadata (layer information) for data management construction process, 3) The grid preserves the same shape and area even with the passage of time, so it is effective for time-series analysis. Therefore, the grid information converted and fused in the process 2) is converted and fused in the time-series Emerging Hot Spot technique to convert two-dimensional spatial information according to the passage of time. After creating a three-dimensional Space Time Cube, time series analysis of the trends of hot spots and cold spots according to the temporal trend of each grid is performed in several patterns, and then the trend analysis results according to the passage of time for each grid are quickly displayed on a two-dimensional map. visualization process.