Space analysis is commonly used in cluster analysis and regression analysis. For example, the clustering analysis of the spatial and temporal agglomeration of crime, for burglary, the perpetrator will be more sensible to consider the input-output ratio, usually in a familiar environment continuous crime to maximize efficiency. Therefore, for suburbanized detached houses in the United States, if patrols are intensified within 300 meters, the crime rate drop will be reduced by 1/3, and this trend has also been verified in New Zealand. For vertical cities, floor level data is also added. Cluster analysis is also commonly used in the field of public **** health, such as SARS, such as disease, the initial symptoms of the disease is not obvious, usually with a cold or other common disease performance, can not be immediately diagnosed. For example, if the percentage of people with colds or severe colds in a given area is normally 3%, and if it suddenly increases to 10% at a certain point in time, this is an early warning signal. Such analysis is important for the city's disaster prevention and early warning.