Abstract: Based on multi-source spatial big data, this paper proposes an evaluation model of spatial location advantage for university campuses in Nanjing, China. The evaluation model considers four factors including living, transportation, environment and population and they are combined by experts scoring and entropy weight methods. The evaluation results show that:①The comprehensive spatial location advantage of university campuses in Nanjing presents a spatially decreasing trend from the central area of Nanjing and has significant differences between districts; ②The spatial location advantage of living factor presents "one superpower and multi powers" structure and its spatial pattern is related to Nanjing metro network, the spatial location advantage change of living factor is positively correlated with the commercial radiation capacity; ③The spatial location advantage of transportation reaches the highest in Xinjiekou area and has a strong relationship with Nanjing metro network; ④Jiangning higher education mega center has the highest comprehensive evaluation score, followed by Xianlin higher education mega center and the Pukou higher education mega center withthe lowest comprehensive score, but they have a large gap to university campuses in the central area of Nanjing. The evaluation analysis can provide a valuable decision-making support for the construction of urban in Nanjing and the improvement of higher education mega centers in future.

Key words: multi-source spatial big data, entropy weight method, spatial location advantages for university campuses, higher education mega center, Nanjing