Design of Multidimensional Spatiotemporal Information Relevance Model

Information object refers to anything that can be perceived or conceived in the form of information, including concrete and abstract concepts, such as people, events, architecture, engineering, trees, houses, prices, public opinion, etc. The evolution, change and relevance of these information objects depend on the two key characteristics of historical events and geographic information. The main content of this research is to propose a spatiotemporal information relevance model based on information object-state. Using the spatiotemporal information relevance model, through the reasonable design of a large amount of historical and geographic information storage database, it can show the spatiotemporal evolution of historical information objects, and tap the relevance between historical information objects, so that historical and geographical information can be scientifically and objectively displayed. This research topic will use big data, database, image processing and other technologies to clearly show the development context and relevance of information objects, improve the intuitiveness of historical and geographic information data display, and help to provide historical geographic information researchers with a way to obtain and display data.