Abstract: In this paper, the relations between climatical elements and geographical conditions have been estimated and analysed by multiplying linear stepwise regression technique, and the corresponding spatial equations have been set up. It's diffirent from the previous works that the independent variables involve not only latitude, longitude and altitude, but also the effects of mountains, rivers and lakes, etc. In order to ensureing the linear relations, it seems nece ssary that the latters have been quantified before entering estimation. The results of estimation indicate thatmost of the spatial equations have adequate large multi-correlative efficient, in other words, it's very close to the linear relationship. In thermal spatial equations, the main effective elements are altitude latitude for Zhejiang one by one,and latitude distance from shore for Jiang-su one by one. In rain spatial equations, the main efective elements are latitude, altitude and the run of mountains for Zhejiang, and altitude, distance from shore for Jiangsu. Generally, the multi-correlative coefficients are higher in thermal spatial eq. than in rain spatial eq. It seems possible that thisw ork may offer a method for studying the distributions of agroclimatical sourses.