Abstract: Leisure agriculture is an important part of modern cities economic activities. Upon the published leisure agriculture data and land use data from Shanghai Municipal Agricultural Commission, this study analyzes the leisure agriculture spatial pattern in the city of Shanghai and explores the possible factors. Analytical methods include Near neighbor index(NNI), the geographic congregation degree(G), index of diversification(GM), Lorenz curve and Gini coefficient, grey relational analysis and Method of ordinary least squares(OLS) regression analysis. The results show: (1) The NNI of leisure agriculture scenic spots is 0.673 8, indicating the leisure agriculture scenic spots is concentrated in Shanghai. The congregation degree is accounted as 42.31. (2) Index of diversification of Shanghai leisure agriculture varies greatly from 0.2 to 0.7 in the 9 regions. Diversification order in the 9 regions (from high to low) is Fengxian > Jiading > Songjiang > Qingpu > Baoshan > Pudong > Jinshan > Minhang. The Gini coefficient is 0.558 2 and the spatial patterns of land use vary in the 9 regions. The Gini coefficients of heritage villages and tourism agriculture parks are over 0.8, suggesting the two areas have the lowest leisure agriculture land use distribution. (3) Leisure agriculture can be influenced by many factors, e.g. the funding amounts, the development of society and economy, the transport facilities and local tourism development, etc. The results of grey relational analysis suggest spatial pattern of Shanghai leisure agriculture can be greatly affected by road lengths, citizen’s income, agricultural areas and productions. The tourist amount and population size have the medium and low impacts on Shanghai’s leisure agriculture spatial patterns, respectively. The OLS regression analysis suggests that agricultural resources and transport facilities have significantly positive impacts on the spatial pattern of leisure agriculture, while tourist amount, people’s average income, and agricultural production have significant negative impacts on the spatial pattern of leisure agriculture. The results of quantitative geography analysis reveal some problems of leisure agriculture in Shanghai. Five suggestions are given to improve leisure agriculture industry in Shanghai: 1) develop resources according to local conditions; 2) form an annular spatial pattern; 3) coordinate leisure agriculture and tourism industry; 4) improve the transport infrastructure; 5) promote agglomeration effects.