The impact of Border policy effect on cross-border ethnic areas

Bie, Qianlong; Zhou, Shangyi; Li, Cansong

doi:10.5194/isprsarchives-xl-4-w3-35-2013

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…; (2) by extending the expression of the spatial publish/subscribe model and optimization of its matching algorithm to meet the requirement of the composite event and subscription; (3) by improving the interface/user design to improve user comprehension; and (4) by performing massive experiments to evaluate system usability and the quality of the data it provides.…”

Section: Discussionmentioning

confidence: 99%

“…In the spatial pub/sub system, a spatial subscription is defined by Equation (2). The semantic for a spatial subscription is: a notification is sent to a subscriber when an incoming spatial event (based on the spatial event model) meets the Publish (P) and Subscribe (S) requirements.…”

Section: Ts P S Tp P S P S P S P S P Smentioning

confidence: 99%

“…Such cross-border commonalities, which cannot be divided by politically dictated and artificial boundary lines, potentially contribute to sustainable development within the world [1,2]. However, because the spatial region used in borderland research usually covers several regions of neighboring countries, it is difficult for borderland information to be collected by one research institution or government [3].…”

Section: Introductionmentioning

confidence: 99%

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A Geoweb-Based Tagging System for Borderlands Data Acquisition

Xing

Zhou

2015

IJGI

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Ts P S Tp P S P S P S P S P Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Geoweb-Based Tagging System for Borderlands Data Acquisition

Xing

Zhou

2015

IJGI

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“…For instance, the nature of the contiguous borders that link enduring rivalry dyads was analyzed by modeling the ease of interaction and salience using GIS data [27]. Another example is the identification of the areas of high porosity or high permeability for pedestrians along the southern national border region in Carinthia, Austria, using geo-computational analysis and terrain, land use, and road system data [28].The impact of border policy effect on people's daily life for border management was studied with the help of GIS-based analysis, such as a case study of cross-border ethnic areas of China-Burma [29]. Land use and cover change in border areas were also analyzed, such as twin-cities on the Russian-Chinese border [30], land cover change in China's neighboring countries from 2001 to 2009 [31] .…”

Section: Theme Spatial Analysis and Visualizationmentioning

confidence: 99%

GIS-Based Borderlands Modeling and Understanding: A Perspective

Chen

Dong

et al. 2015

IJGI

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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.

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“…As a result, the unique spatial location advantages of the border areas have gradually become apparent and the intermediary effect continuously strengthens (Newman & Paasi, 1998). Both sides of the national borderlands are becoming important spaces (or bridge tower) for international economy, trade, exchanges, and cooperation, and the social and economic development of border areas has been significantly improved (Bie et al, 2013; Medeiros, 2020). Since the 1990s, geopolinomical relations have taken on a new pattern with global regional cooperation, which has also brought about rapid and widespread borderlands LUCC (Kupková et al, 2019; Perz et al, 2013; Xiao et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Impact of armed conflict on land use and land cover changes in global border areas

2022

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National borderlands as the spatial carrier and forefront for exerting geopolinomical influence and implementing geopolinomical strategy, most have the same or similar eco-geographical structure characteristics, such as land cover. However, there are different development trends in different national relationships (e.g., cooperation and conflict), and land use and land cover changes (LUCC), especially in apparent in border areas. In general, armed conflict in border areas is accompanied by severe, immediate and long-lasting LUCC-like forest loss. Here, by means of geospatial analysis, the Uppsala Conflict Data Program and Climate Change Initiative Land Cover dataset were used to investigate the linkages between the armed conflict and LUCC or the patterns and processes of LUCC before, during and after armed conflict around the globe in borderlands from 1992 to 2020. The main and key insights are: (1) nearly 50% of global armed conflict has occurred and re-occurred in these borderlands since 1992, leading to about 16.5% of LUCC globally; (2) the impact of armed conflict on LUUC is hysteretic, based on the intensity of conflict, especially in borderlands;(3) the transfer rate of land use is high during the conflict and tends to be stable in the post-conflict period; (4) the absolute amount of armed conflict damage to forest land is large, but the changes rate of impervious surfaces is far more than the former, nearly 18 times greater. These findings improve the understanding of the impact of armed conflict on LUCC, in border areas. This study could provide a proxy and benchmark for exploring the cause-effect and impact-response between geopolinomical relations and the borderlands LUCC.armed conflict, border areas, geopolinomical relations, geospatial analysis, land use and land cover changes | INTRODUCTIONAs a vital part of global climate change, biodiversity conservation and sustainable development, land use and land cover changes (LUCC) are also an important field for the humanities and natural sciences (Nagabhatla et al., 2015). Since the 1980s, especially in the past 20-30 years, the world has experienced profound and wide LUCC (Song et al., 2018). To date, a number of studies have used remotely sensed data to examine spatio-temporal patterns of LUCC (Lambin et al., 2001;Mas et al., 2014; Parker et al., 2003), including structure, type, and distribution (Li et al., 2014). More importantly, the interaction mechanism between LUCC and driving factors of natural, socio-economic and policy have gained much attention (Feng et al., 2013;Lambin & Meyfroidt, 2011;Rienow et al., 2022). With the increasing demand for transportation, warehousing, trading and other venues in the trade industries of various countries, scholars have begun to pay attention to related-LUCC in border areas, such as borderlands construction land and the

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The impact of Border policy effect on cross-border ethnic areas

Cited by 6 publications

References 8 publications

A Geoweb-Based Tagging System for Borderlands Data Acquisition

A Geoweb-Based Tagging System for Borderlands Data Acquisition

GIS-Based Borderlands Modeling and Understanding: A Perspective

Impact of armed conflict on land use and land cover changes in global border areas

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