To find anomaly point is an effective method for controlling the quality of hourly precipitation data. However, simply removingthe uncorrected anomaly point will inevitably affect the spatial variation of the precipitation within a certain range. This paperproposed a comprehensive scoring method to quantitatively analyze the influence of different anomaly monitoring points removalon the variation of precipitation during different durations, and discussed the temporal and spatial distribution of precipitation afteranomaly point removal. The case study of Ningde precipitation data shows that the variation of precipitation is relatively small whenthe number of neighbors is more than 12, the nearest neighbor distance is less than 3km, and the average monitoring value of adjacentsites is greater than 6mm. The comprehensive analysis of three adjacent stations can significantly show the spatial distributionof precipitation at different monitoring stations in different durations. The probability of occurrence of high-variation sites in thenorthwest and southeast of Ningde is the highest, showing a high variation range distributed in a wide range of areas. In thenortheast, the monitoring sites are unevenly distributed, and the site of high variation in precipitation is susceptible to the size ofthe hourly precipitation, showing a wide range of light rain, and heavy rain distribution in small areas. In the southwest and center,the monitoring sites are densely distributed, the possibility of a site showing a high degree of change is the smallest. Therefore, acomprehensive analysis can eliminate the influence characteristics of the regional anomaly points on the spatial variation of precipitation,and determine the monitoring stations that have the least impact on the variation range of precipitation, and effectively improvethe quality control of precipitation data.