Hyphantria cunea (H. cunea) is one of the major quarantine objects in China, which has caused great losses to the ecology and economy, and it is very difficult to control. Based on the principles of geostatistics and geographic information system, this study selected the best fitting model through semi variogram analysis, and mapped the spatial and temporal distribution characteristics of the population of American white moth in Beijing from 2008 to 2016 by Kriging interpolation method, exploring the relationship between the H. cunea population dynamics and climate factors by redundancy analysis (RDA). The results showed that:(1) in terms of spatial characteristics, the populations of the H. cunea presented a clustering distribution trend, which was higher in the east and south, less in the west and north, and mainly concentrated in the areas below 400 meters above sea level. (2) In terms of time characteristics, the populations of H. cunea in Beijing had three generations a year, showing periodic changes. The number of overwintering generations was much larger than that of the first and second generations, and the populations of the first and second generations were similar. (3) The results of RDA showed that the population of H. cunea in Beijing was positively correlated with the averagely relative humidity in March, the average temperature in July and the maximum temperature in August of the previous year, and negatively correlated with the sunshine hours in February, the maximum temperature in April and the minimum temperature in September of the previous year. (4) The interpolation results showed that there was a large population of H. cunea at the junction of the eastern and southern borders of Beijing and Hebei Province, which can affect the population of H. cunea in this area.