Research trend analysis of study areas in Qinghai-Tibet Plateau based on the spatial information mining from scientific literatures

Xuemei Wang; Mingguo Ma; Xin Li

doi:10.1117/12.897852

26 October 2011 Research trend analysis of study areas in Qinghai-Tibet Plateau based on the spatial information mining from scientific literatures

Xuemei Wang, Mingguo Ma, Xin Li

Author Affiliations +

Proceedings Volume 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II; 81811N (2011) https://doi.org/10.1117/12.897852
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

The subject intersection becomes one of the hot research topics recently. It is a new direction to integrate the GIS technologies with Bibliometrics. The literatures concerned with geosciences normally involve some spatial related information. In this paper, the spatial information of the study area and sampling or observing points was extracted. Then these data were analyzed and presented by using the GIS technologies. The results indicate that there are big variations of the spatial distribution. For the whole Qinghai-Tibet plateau, the degree of interest increase as follow: southwest, northwest, southeast, and northeast. For the regions, Qilian Mountains, Qiangtang plateau, Qinghai-Tibet Road and Qinghai-Tibet Railway, Qinghai Lake, and Sichuan-Tibet Road are the hotspot regions. There are differences of the distribution characteristics in the different segments along the latitudinal direction and longitudinal direction. There is transfer tendency from middle Qinghai-Tibet Plateau to northern Qinghai-Tibet Plateau. Most of sampling and observing points are close to the traffic lines. The point numbers decrease quickly along with the increasing distance to the traffic lines.

Citation Download Citation

Xuemei Wang, Mingguo Ma, and Xin Li "Research trend analysis of study areas in Qinghai-Tibet Plateau based on the spatial information mining from scientific literatures", Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81811N (26 October 2011); https://doi.org/10.1117/12.897852

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available