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To establish a comprehensive understanding of agricultural climate and soil resources in millet planting in Heilongjiang Province, climate observation data of 110 meteorological stations from 1953 to 2013 and the geographic information of corresponding sites in Heilongjiang Province, along with the soil data and the geographical information of corresponding sites based on the fertility measurement data provided by the Institute of Soil, Fertilizer and Environmental Resources of Heilongjiang Academy of Agricultural Sciences, using the step-wise regression analysis method and the Pan-Kriging space interpolation method to establish the spatial simulation model of index factor. Fine grid estimation and residual correction calculation are carried out for the zoning index factors and residuals. The elevation data uses 90 m*90 m SRTM DEM data to extract the latitude, longitude, slope and aspect data of each grid point. Entropy method is used to determine the weight of the evaluation index of millet suitability in Heilongjiang Province. Then based on the determined climate, soil and topography data to resolve the comprehensive index of climate soil and suitability levels. The comprehensive index ranking, and evaluation unit ranking are used to draw a composite index distribution map. According to the sudden change of point (inflection point) of the slope of the curve, the number of levels and the critical point of the comprehensive index are determined. GIS technology is used to finalize the fine zoning of the suitableness of the millet. [ABSTRACT FROM AUTHOR]