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ISPRS Int. J. Geo-Inf. 2015, 4(2), 661-676; doi:10.3390/ijgi4020661

GIS-Based Borderlands Modeling and Understanding: A Perspective

1
National Geomatics Center of China, Beijing 100830, China
2
School of Geography, Beijing Normal University, Beijing 100875, China
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 19 August 2014 / Revised: 27 October 2014 / Accepted: 3 February 2015 / Published: 20 April 2015
(This article belongs to the Special Issue Borderlands Modeling and Analysis)
View Full-Text   |   Download PDF [714 KB, uploaded 20 April 2015]   |  

Abstract

Borderland regions are special areas and deserve more attention in global sustainable development. Reliable geo-information and effective analysis tools are requested to support borderlands studies through the integrated utilization of geospatial analysis, web service, as well as the other domain-specific expertise. This paper has reviewed the state-of-the-art of geospatial information sciences, (GIS)-based borderlands modeling, and understanding. From the perspective of GIS, integrated data modeling, comprehensive analysis, and collaborative information service are identified as the three major challenges in this filed. A research agenda is further proposed with four topics, i.e., classification and representation of borderland information, derivation of neighborhood information, development of synergetic analysis, and design and development of a geo-portal for borderlands studies. This interdisciplinary study requires a closer and in-depth collaboration of geopolitics, international relation, geography and geo-spatial information sciences. View Full-Text
Keywords: borderlands; sustainable development; integrated data modeling; comprehensive analysis; geospatial information science borderlands; sustainable development; integrated data modeling; comprehensive analysis; geospatial information science
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chen, J.; Li, R.; Dong, W.; Ge, Y.; Liao, H.; Cheng, Y. GIS-Based Borderlands Modeling and Understanding: A Perspective. ISPRS Int. J. Geo-Inf. 2015, 4, 661-676.

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