Abstract: Spatial discretization of fruit production was of great help to deeply learn the spatial diversity in small scaled districts, and provide guidance for those areas lacking fruit statistical data to develop the spatial discretization method. Based on Pinggu's overall plan of land use and surface rolling, this study built discretization model for plain, hill and mountain's areas, respectively, and then selected appropriate correction method to discrete the fruit output from village to 500 m×500 m's grid size. The results were shown as follows: (1) Compared with the simulation results of overall samples, the correlation between predicted output and actual fruit output increased from 0.585 to 0.690, which meant the partition modeling was an effective method. (2) There were differences in the relationship between the influence factors and fruit output. The orchard area in plain area had a linear effect on fruit output. Differently, the orchard area in shallow mountain area and deep mountain area had an exponential effect on fruit output, and the fitting effect improved significantly after increasing the elevation and slope variables. (3) In 2012, influenced by natural geographical factors, fruit production presented an obvious zonal distribution. The villages with higher output mainly lay in the shallow hills with relatively flat terrain, good natural background and convenient working environment for farmers. Instead, limited by policy or terrain, the fruit output in the plain and deep mountains was relatively low.

Key words: fruit production, land use, space discretization, Pinggu District