地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (10): 1332-1340.doi: 10.3724/SP.J.1047.2016.01332

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OSDS注册用户空间分布特征及影响因素分析

谢帅1,2(), 刘士彬1, 段建波1,**(), 戴芹1   

  1. 1. 中国科学院遥感与数字地球研究所,北京 100094
    2. 中国科学院大学,北京 100049
  • 收稿日期:2015-11-03 修回日期:2016-01-28 出版日期:2016-10-25 发布日期:2016-10-25
  • 通讯作者: 段建波 E-mail:xieshuai@radi.ac.cn;jbduan@ceode.ac.cn
  • 作者简介:

    作者简介:谢 帅(1991-),男,山东青岛人,硕士生,研究方向为网络空间信息系统。E-mail: xieshuai@radi.ac.cn

  • 基金资助:
    中国科学院遥感与数字地球研究所所长基金项目(ZZCEODE2015HT013)

Spatial Distribution Characteristics of OSDS Registered Users and Its Influencing Factors

XIE Shuai1,2(), LIU Shibin1, DUAN Jianbo1,*(), DAI Qin1   

  1. 1. Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100094, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2015-11-03 Revised:2016-01-28 Online:2016-10-25 Published:2016-10-25
  • Contact: DUAN Jianbo E-mail:xieshuai@radi.ac.cn;jbduan@ceode.ac.cn

摘要:

本文以2005年以来中国科学院遥感与数字地球研究所开放式空间数据共享网站(OSDS)平台的注册用户为研究对象,利用最近邻层次空间聚类方法和地理探测器模型,对各省注册用户量的空间分布特征和差异影响因素进行了分析。分析结果表明,整体上用户空间分布很不均衡,主要集中在东部发达地区和几个在测绘和地理信息科学领域卓有建树的地区,信息、科研和教育是主要影响因素,经济、网络和测绘的单因素影响力较低,而与主要影响因素结合的交互影响得到了提升。因此,多因素共同制约着用户群的空间分布格局和区域不均衡性。应用地理探测器能从宏观上把握遥感学者群体的空间分布特征及其影响因素,其分析结果能够指导数据提供者更有针对性地为用户提供服务,也可为遥感产业调整和空间布局优化提供依据。

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