关键词: OSDS, 最近邻层次空间聚类, 地理探测器, 空间分布, 影响因子

Abstract:

The research object of this paper is based on the remote sensing data sharing website (OSDS) founded by the Chinese Academy of Sciences in 2005. Using the nearest neighbor hierarchical spatial clustering method and the model of geographic detector, the spatial distribution characteristics of the registered users and the relevant influencing factors were analyzed. Analysis results show that the overall user space distribution is not balanced, which mainly aggregates in the eastern developed regions and in several areas that have outstanding achievements in the field of surveying, mapping and geographic information science. Information, scientific research and education are the main influencing factors. The influence of economic, network and mapping are low when they are considered separately as a single factor, but their interactions with the main influencing factors would improved the influence. Therefore, there are multiple factors restricting the spatial distribution pattern and regional imbalance of the user group. In this paper, the spatial distribution characteristics and the influencing factors of the user group that is consisted by the remote sensing scholars can be grasped using the geographic detector. The analysis results are helpful to the data providers to deliver services to the targeted users more efficiently, and also provide the references to the adjustment of remote sensing industry and the optimization of spatial layout.

Key words: OSDS, nearest neighbor hierarchical spatial clustering, geographical detector, spatial distribution, determinants