Special Issue "Borderlands Modeling and Analysis"

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A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: closed (31 May 2015)

Special Issue Editors

Guest Editor
Prof. Dr. Xiao-guang Zhou (Website)

School of Geosciences and Info-Physics, Central South University, Changsha 410083, Hunan, China
Phone: +86 731 8887 7984
Fax: +86 731 8887 7984
Interests: spatio-temporal database updating; crowdsourcing geographic information; mobility–tracking and services
Guest Editor
Dr. Weihua Dong

School of Geography and Remote Sensing, Beijing Normal University, No. 19, Xin Jie Kou Wai St., Hai Dian District, Beijing 100875, China
Interests: geospatial cognition and geocomputation; cartography and geovisualization

Special Issue Information

Dear Colleagues,

Borderlands are the spaces adjoining national boundaries and geographic units. Often, they encompass common ethnicities, economic patterns, cultures, and natural resources that are shared with neighboring countries. Such cross-border commonalities potentially contribute to sustainable development within the world. These commonalities cannot be divided by the politically-dictated, artificial boundary lines. People, goods, services, and ideas flow across boundaries from state to state very easily. In the past, data on the borderlands was difficult to obtain. This limited progress on borderland-related research. In recent years, data collection technologies have developed greatly, these technologies include remote sensing imagery and volunteered geographic information from Web 2.0 communities. These technologies provide opportunities for modeling and analyzing phenomena in borderland areas.

This Special Issue focuses on Progress in Borderlands Modeling and Analysis. The issue’s scope includes, but is not limited to, significant improvements in both the modeling and representation of digital borderlands and the capture and evaluation of reliable borderland information, geo-computing infrastructures for borderland studies, and analytical and quantitative methods for borderland research. Prospective authors are invited to contribute to this Special Issue of the International Journal of Geo-Information by submitting an original manuscript. Contributions may focus on, but are not limited to:

  • Spatial Data Infrastructures for digital borderlands
  • Capture methods for borderland information
  • Reliability evaluation methods for borderland information
  • Spatio-temporal borderland data modeling
  • Updating of borderland databases
  • Visualization methods for borderland data
  • Analytical and quantitative methods
  • Simulation models and techniques
  • Spatial Decision Support Systems (SDSS) for borderland business
  • Data standards for borderland information
  • Borderland data quality and uncertainty
  • Web Crawler Technology
  • Metadata architecture for digital boundaries
  • Multi-source data integration methods for borderland information
  • Boundary environment models
  • GPS/Mobile GIS applications in borderland data collection
  • Borderland information extraction from remote sensing

Prof. Dr. Xiao-guang Zhou
Dr. Weihua Dong
Guest Editors

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed Open Access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 900 CHF (Swiss Francs).

Keywords

  • geographic information (GI) technologies and sciences
  • borderland regions
  • spatio-temporal data model
  • incremental updating
  • geo-computation
  • geo-visualization
  • crowdsourcing data / volunteered geographic information
  • reliability evaluation
  • spatial data analysis
  • simulation models and techniques
  • geo-statistics
  • spatial simulation
  • cartography
  • geospatial data handling
  • data quality or uncertainty
  • web crawler
  • geo-referenced text
  • place name
  • borderlines
  • metadata
  • data standards
  • spatial decision support systems

Published Papers (5 papers)

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Research

Open AccessArticle A Spatio-Temporal VGI Model Considering Trust-Related Information
ISPRS Int. J. Geo-Inf. 2016, 5(2), 10; doi:10.3390/ijgi5020010
Received: 31 May 2015 / Revised: 24 January 2016 / Accepted: 28 January 2016 / Published: 3 February 2016
Cited by 1 | PDF Full-text (1884 KB) | HTML Full-text | XML Full-text
Abstract
Over the past several years, volunteered geographic information (VGI) has expanded rapidly. VGI collection has been proven to serve as a highly successful means of acquiring timely and detailed global spatial data. However, VGI includes several special properties. For example, the contributor’s [...] Read more.
Over the past several years, volunteered geographic information (VGI) has expanded rapidly. VGI collection has been proven to serve as a highly successful means of acquiring timely and detailed global spatial data. However, VGI includes several special properties. For example, the contributor’s reputation affects the quality of objects edited, and a geographic object may have multiple versions. The existing spatio-temporal data model cannot describe the unique properties of VGI. Therefore, a spatio-temporal VGI model considering trust-related information is presented in this paper. In this model, central elements of the VGI environment, e.g., geographic entity, entity state, state version, contributor, reputation, geographic event, and edit event, and their interaction mechanisms are analysed. Major VGI objects and relations are determined using the object-oriented method and trust-related operations, and their relationships are analysed, and nine linkage rules among trust-related operations are found to maintain the consistency of corresponding data. A prototype system for the spatio-temporal VGI model is presented, and the effectiveness of the model is verified. Full article
(This article belongs to the Special Issue Borderlands Modeling and Analysis)
Open AccessArticle Dynamically Integrating OSM Data into a Borderland Database
ISPRS Int. J. Geo-Inf. 2015, 4(3), 1707-1728; doi:10.3390/ijgi4031707
Received: 1 June 2015 / Revised: 19 August 2015 / Accepted: 27 August 2015 / Published: 8 September 2015
Cited by 1 | PDF Full-text (977 KB) | HTML Full-text | XML Full-text
Abstract
Spatial data are fundamental for borderland analyses of geography, natural resources, demography, politics, economy, and culture. As the spatial data used in borderland research usually cover the borderland regions of several neighboring countries, it is difficult for anyone research institution of government [...] Read more.
Spatial data are fundamental for borderland analyses of geography, natural resources, demography, politics, economy, and culture. As the spatial data used in borderland research usually cover the borderland regions of several neighboring countries, it is difficult for anyone research institution of government to collect them. Volunteered Geographic Information (VGI) is a highly successful method for acquiring timely and detailed global spatial data at a very low cost. Therefore, VGI is a reasonable source of borderland spatial data. OpenStreetMap (OSM) is known as the most successful VGI resource. However, OSM's data model is far different from the traditional geographic information model. Thus, the OSM data must be converted in the scientist’s customized data model. Because the real world changes rapidly, the converted data must be updated incrementally. Therefore, this paper presents a method used to dynamically integrate OSM data into the borderland database. In this method, a basic transformation rule base is formed by comparing the OSM Map Feature description document and the destination model definitions. Using the basic rules, the main features can be automatically converted to the destination model. A human-computer interaction model transformation and a rule/automatic-remember mechanism are developed to interactively transfer the unusual features that cannot be transferred by the basic rules to the target model and to remember the reusable rules automatically. To keep the borderland database current, the global OsmChange daily diff file is used to extract the change-only information for the research region. To extract the changed objects in the region under study, the relationship between the changed object and the research region is analyzed considering the evolution of the involved objects. In addition, five rules are determined to select the objects and integrate the changed objects with multi-versions over time. The objects’ change-type evolution is analyzed, and seven rules are used to determine the change-type of the changed objects. Based on these rules and algorithms, we programmed an automatic (or semi-automatic) integrating and updating prototype system for the borderland database. The developed system was intensively tested using OSM data for Vietnam and Pakistan as the experimental data. Full article
(This article belongs to the Special Issue Borderlands Modeling and Analysis)
Open AccessArticle Towards Measuring and Visualizing Sustainable National Power—A Case Study of China and Neighboring Countries
ISPRS Int. J. Geo-Inf. 2015, 4(3), 1672-1692; doi:10.3390/ijgi4031672
Received: 15 May 2015 / Revised: 13 August 2015 / Accepted: 27 August 2015 / Published: 2 September 2015
PDF Full-text (1311 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
This paper presents a new perspective of national power—sustainable national power (SNP)—emphasizing both the traditional comprehensive national power (CNP) and social and environmental sustainability. We propose a measurement to quantify the SNP based on the measurement of comprehensive national [...] Read more.
This paper presents a new perspective of national power—sustainable national power (SNP)—emphasizing both the traditional comprehensive national power (CNP) and social and environmental sustainability. We propose a measurement to quantify the SNP based on the measurement of comprehensive national power and a sustainable adjusted index. In addition, density-equalizing maps are adopted to visualize the sustainable national power of countries in order to gain a better understanding for its current state and future development from a cartographic perspective. China and its neighboring countries are selected as a case study area. The results show that China outperforms other countries in most of the CNP dimensions but performs poorly in various SNP-adjusted dimensions within the study area. The composite score shows that China is with the highest regional SNP, followed by Japan, Russia, South Korea and India. Furthermore, time series of cartograms reveal evidence showing power transitions among countries. In addition, the effectiveness of cartograms for cartographic communication is discussed. Full article
(This article belongs to the Special Issue Borderlands Modeling and Analysis)
Open AccessArticle A Geoweb-Based Tagging System for Borderlands Data Acquisition
ISPRS Int. J. Geo-Inf. 2015, 4(3), 1530-1548; doi:10.3390/ijgi4031530
Received: 29 May 2015 / Revised: 10 August 2015 / Accepted: 12 August 2015 / Published: 21 August 2015
PDF Full-text (4269 KB) | HTML Full-text | XML Full-text
Abstract
Borderlands modeling and understanding depend on both spatial and non-spatial data, which were difficult to obtain in the past. This has limited the progress of borderland-related research. In recent years, data collection technologies have developed greatly, especially geospatial Web 2.0 technologies including [...] Read more.
Borderlands modeling and understanding depend on both spatial and non-spatial data, which were difficult to obtain in the past. This has limited the progress of borderland-related research. In recent years, data collection technologies have developed greatly, especially geospatial Web 2.0 technologies including blogs, publish/subscribe, mashups, and GeoRSS, which provide opportunities for data acquisition in borderland areas. This paper introduces the design and development of a Geoweb-based tagging system that enables users to tag and edit geographical information. We first establish the GeoBlog model, which consists of a set of geospatial components, posts, indicators, and comments, as the foundation of the tagging system. GeoBlog is implemented such that blogs are mashed up with OpenStreetMap. Moreover, we present an improvement to existing publish/subscribe systems with support for spatio-temporal events and subscriptions, called Spatial Publish/Subscribe, as well as the event agency network for routing messages from the publishers to the subscribers. A prototype system based on this approach is implemented in experiments. The results of this study provide an approach for asynchronous interaction and message-ordered transfer in the tagging system. Full article
(This article belongs to the Special Issue Borderlands Modeling and Analysis)
Open AccessArticle GIS-Based Borderlands Modeling and Understanding: A Perspective
ISPRS Int. J. Geo-Inf. 2015, 4(2), 661-676; doi:10.3390/ijgi4020661
Received: 19 August 2014 / Revised: 27 October 2014 / Accepted: 3 February 2015 / Published: 20 April 2015
Cited by 3 | PDF Full-text (714 KB) | HTML Full-text | XML Full-text
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Borderlands Modeling and Analysis)

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