The food data of the whole life cycle from farmland to dining table implies the spatial geographic attribute. Compared with the classical statistics, spatial statistics can utilize effectively this property to realize the food safety of cross-border integration and correlation analysis, and it has more advantages on achieving multidisciplinary integration, inspiring professionals for depth-thinking, utilizing the multidimensional data fully, approximating to the truth. Nowadays it is gradually used in pollution of agricultural regions spatial sampling and distribution pattern analysis,food-borne diseases aggregation analysis,early outbreak detection and early warning, food emergency prevention and control , food safety supervision and decision-making and so on. With the arrival of the era of big data, it will become an important tool for food safety big data analysis.