Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378701
Feiran Sun, Xi Tang, Tianyu Ye, Feng Zhu
In order to suit new mapping scenarios and to meet non-professional users' reading requirements as well as their cognitive features, through a practical case of `the Atlas of Shanghai Second Water Resources Survey', we explore storytelling-concept-based multiple solutions to thematic atlas information expansion design, which integrated the characteristics of information transmission of web environment with `user-centered' principles. First, we make the atlas's potential information logic appeared in an obvious narrative framework. Then, we process the expansion design in several aspects, not only including content diversification, medium digitalization, and interaction activation, but also treating the mapping space as a `stage'. Via all of the above, alternative design plans are proposed to visual interfaces and information interactions. The application shows that the information expansion design can enrich the expressive forms of atlas themes, and it can break through the visualization limitation when a vast amount of information needs to be integrated within a limited screen space. Thus, faced with potential users, it could give innovations and references on the propagation and communication mode of future atlas design.
{"title":"Thematic atlas information expansion design: A storytelling concept under web environment","authors":"Feiran Sun, Xi Tang, Tianyu Ye, Feng Zhu","doi":"10.1109/GEOINFORMATICS.2015.7378701","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378701","url":null,"abstract":"In order to suit new mapping scenarios and to meet non-professional users' reading requirements as well as their cognitive features, through a practical case of `the Atlas of Shanghai Second Water Resources Survey', we explore storytelling-concept-based multiple solutions to thematic atlas information expansion design, which integrated the characteristics of information transmission of web environment with `user-centered' principles. First, we make the atlas's potential information logic appeared in an obvious narrative framework. Then, we process the expansion design in several aspects, not only including content diversification, medium digitalization, and interaction activation, but also treating the mapping space as a `stage'. Via all of the above, alternative design plans are proposed to visual interfaces and information interactions. The application shows that the information expansion design can enrich the expressive forms of atlas themes, and it can break through the visualization limitation when a vast amount of information needs to be integrated within a limited screen space. Thus, faced with potential users, it could give innovations and references on the propagation and communication mode of future atlas design.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123437759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378686
Y. Wang, Changqing Huang, J. Shan
As GPS trajectories trace the moving objects in space and represent the mobility of individual carriers in real-world, it provides a new method for researchers to study human activities in urban time-space geography. This paper proposes a referential workflow to explore the pattern of college students' activities based on GPS trajectories and gives a trial experiment. We divide the trajectories into stay-and-move sub-trajectories, and analyze the potential trend of activities based on the attributes of the stay points as well as some basic information of the carriers. After comparing with the results collected from the traditional questionnaire, we approach the conclusion that GPS trajectories could be very beneficial for human behavior mining.
{"title":"An initial study on college students' daily activities using GPS trajectories","authors":"Y. Wang, Changqing Huang, J. Shan","doi":"10.1109/GEOINFORMATICS.2015.7378686","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378686","url":null,"abstract":"As GPS trajectories trace the moving objects in space and represent the mobility of individual carriers in real-world, it provides a new method for researchers to study human activities in urban time-space geography. This paper proposes a referential workflow to explore the pattern of college students' activities based on GPS trajectories and gives a trial experiment. We divide the trajectories into stay-and-move sub-trajectories, and analyze the potential trend of activities based on the attributes of the stay points as well as some basic information of the carriers. After comparing with the results collected from the traditional questionnaire, we approach the conclusion that GPS trajectories could be very beneficial for human behavior mining.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122039769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378668
Danhuai Guo, Yi Du
Data visualization, as an intuitive approach to help people realize data and knowledge discovering, has been developed with diverse perspectives and objectives, and they may render different analysis results even with the same application case or dataset treated. With the explosive increase of data volume and data dimension, the performance of most of the existing spatio-temporal information visualization toolkits decreases sharply in capacity and efficiency. In this paper, we present a visual analytics platform in data intensive computation environment that supports large-scale spatio-temporal data. By redefining task model, data model, and visual mapping strategies, this platform supports processing and visualizing many kinds of Big Data with spatio-temporal attributes. The processing and visualizing can be done in seconds by distributed storage, data reorganization, distributed query, spatial indices, and segmented fetch, even though it has a terabyte of data. In the experimental implementation, the taxi trajectory dataset with 1TB volume and four typical spatio-temporal queries are used to testify our platform's effectiveness and efficiency.
{"title":"A visualization platform for spatio-temporal data: A data intensive computation framework","authors":"Danhuai Guo, Yi Du","doi":"10.1109/GEOINFORMATICS.2015.7378668","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378668","url":null,"abstract":"Data visualization, as an intuitive approach to help people realize data and knowledge discovering, has been developed with diverse perspectives and objectives, and they may render different analysis results even with the same application case or dataset treated. With the explosive increase of data volume and data dimension, the performance of most of the existing spatio-temporal information visualization toolkits decreases sharply in capacity and efficiency. In this paper, we present a visual analytics platform in data intensive computation environment that supports large-scale spatio-temporal data. By redefining task model, data model, and visual mapping strategies, this platform supports processing and visualizing many kinds of Big Data with spatio-temporal attributes. The processing and visualizing can be done in seconds by distributed storage, data reorganization, distributed query, spatial indices, and segmented fetch, even though it has a terabyte of data. In the experimental implementation, the taxi trajectory dataset with 1TB volume and four typical spatio-temporal queries are used to testify our platform's effectiveness and efficiency.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125703827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378584
Kun Zhang, Songlin Zhang
Location of set covering problem (LSCP) has attracted extensive attentions and studies because many emergency facility location problems could summarized to LSCP model in real-world life. Many methods - either optimal or heuristic - have been developed to obtain the solution. This paper focuses on the situation of multiple solutions. We argue that a solution with maximum service area is optimal, because such a solution could better cope with the future growth of demand points. With a larger service area, there is greater probability that the new added demand points fall within the current service area, and there is no need to build new facilities. The LSCP model is formulated as linear programming, and GIS functionality is called to find out the solution with maximum service area. The technique proved to be feasible by simulated data.
{"title":"Maximizing the service area: A criterion to choose optimal solution in the location of set covering problem","authors":"Kun Zhang, Songlin Zhang","doi":"10.1109/GEOINFORMATICS.2015.7378584","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378584","url":null,"abstract":"Location of set covering problem (LSCP) has attracted extensive attentions and studies because many emergency facility location problems could summarized to LSCP model in real-world life. Many methods - either optimal or heuristic - have been developed to obtain the solution. This paper focuses on the situation of multiple solutions. We argue that a solution with maximum service area is optimal, because such a solution could better cope with the future growth of demand points. With a larger service area, there is greater probability that the new added demand points fall within the current service area, and there is no need to build new facilities. The LSCP model is formulated as linear programming, and GIS functionality is called to find out the solution with maximum service area. The technique proved to be feasible by simulated data.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378620
Zengyu Zhao, Huogen Chen, M. Pan, Zhihu Zhang
The past mineral deposit prediction expert systems cannot support nonmonotonic reasoning. This article introduces answer set programming, which is a well-known formalism in artificial intelligence, to design an expert system for mineral deposit prediction. The system includes GIS spatial database, fact generator, temporary fact library, fact management module, knowledge based management module, knowledge base, reasoning machine, and explanation module. The incomplete deposit knowledge and nonmonotonic reasoning is supported in the system. To demonstrate the feasibility of our approach, we illustrate how to represent deposit information in the form of logic programs and how to make reasoning according to the answer set semantics by an example of the prospecting model of porphyrite iron. The processing of ore deposit predicting is a typical example of nonmonotonic reasoning. As we got more information, we found that the original conclusion was wrong, then we revised our conclusion. Such behavior is supported in our system but is not supported in previous similar systems.
{"title":"Design of mineral deposit prediction expert system based on GIS and answer set programming","authors":"Zengyu Zhao, Huogen Chen, M. Pan, Zhihu Zhang","doi":"10.1109/GEOINFORMATICS.2015.7378620","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378620","url":null,"abstract":"The past mineral deposit prediction expert systems cannot support nonmonotonic reasoning. This article introduces answer set programming, which is a well-known formalism in artificial intelligence, to design an expert system for mineral deposit prediction. The system includes GIS spatial database, fact generator, temporary fact library, fact management module, knowledge based management module, knowledge base, reasoning machine, and explanation module. The incomplete deposit knowledge and nonmonotonic reasoning is supported in the system. To demonstrate the feasibility of our approach, we illustrate how to represent deposit information in the form of logic programs and how to make reasoning according to the answer set semantics by an example of the prospecting model of porphyrite iron. The processing of ore deposit predicting is a typical example of nonmonotonic reasoning. As we got more information, we found that the original conclusion was wrong, then we revised our conclusion. Such behavior is supported in our system but is not supported in previous similar systems.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128319704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
On the basis of analysis of manganese metallogenesis conditions in the western Guangxi and southeastern Yunnan area, some geological variables, including sedimentary basins, synsedimentary faults, deposit facies, strata, lithology combinations, digital topographical features, aeromagnetic anomalies, etc., were built by spatial analysis methods of GIS field model. To solve the information asymmetry problem between prediction areas and known areas, this paper brought a method for mineral resources quantitative prediction limited by spatial extent of action, which matched metallogenesis conditions of prediction with prediction models built in known areas to ensure the information symmetry. To avoid subjectivity of evidence designation in the weights of evidence (WofE) method, linear regression analysis method was applied to filter the evidences. A method considering not only manganese deposits' number but also their quantities was taken to lower the information loss in the binary conversion of evidences.
{"title":"A predictive GIS model for mapping potential manganese mineralization in western Guangxi and southeastern Yunnan area, China","authors":"Baoyi Zhang, Xiaoli Li, Xiancheng Mao, Hao Deng, Shangguo Zhou","doi":"10.1109/GEOINFORMATICS.2015.7378652","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378652","url":null,"abstract":"On the basis of analysis of manganese metallogenesis conditions in the western Guangxi and southeastern Yunnan area, some geological variables, including sedimentary basins, synsedimentary faults, deposit facies, strata, lithology combinations, digital topographical features, aeromagnetic anomalies, etc., were built by spatial analysis methods of GIS field model. To solve the information asymmetry problem between prediction areas and known areas, this paper brought a method for mineral resources quantitative prediction limited by spatial extent of action, which matched metallogenesis conditions of prediction with prediction models built in known areas to ensure the information symmetry. To avoid subjectivity of evidence designation in the weights of evidence (WofE) method, linear regression analysis method was applied to filter the evidences. A method considering not only manganese deposits' number but also their quantities was taken to lower the information loss in the binary conversion of evidences.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128383919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378631
Gong Cheng, X. Qiu, Yong Wang
Some models based on (moderate resolution imaging spectrometer, MODIS) image data for estimating content of the Heavy Metal are developed by taking Taihu Lake as an experimental site in this study. Heavy Metal content measurements and MODIS images are obtained concurrently. The suitable MODIS bands and band combinations are correlated with Heavy Metal measurements. Then, using regression analysis, the semi-empirical retrieval models are developed, evaluated, and applied. This study demonstrates that MODIS images are useful in estimating Heavy Metal content in large inland lakes like Taihu Lake. The combinations of B8-B19 are suitable to detect Cu (R= 0.433) and Zn content (R= 0.529). B11-B18 are applied to estimate Pb (R= 0.670), B8-B7 are chosen to develop the retrieval model of Cd content (R= 0.640).
{"title":"Quantitative study of Heavy Metals in Taihu Lake based on MODIS images","authors":"Gong Cheng, X. Qiu, Yong Wang","doi":"10.1109/GEOINFORMATICS.2015.7378631","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378631","url":null,"abstract":"Some models based on (moderate resolution imaging spectrometer, MODIS) image data for estimating content of the Heavy Metal are developed by taking Taihu Lake as an experimental site in this study. Heavy Metal content measurements and MODIS images are obtained concurrently. The suitable MODIS bands and band combinations are correlated with Heavy Metal measurements. Then, using regression analysis, the semi-empirical retrieval models are developed, evaluated, and applied. This study demonstrates that MODIS images are useful in estimating Heavy Metal content in large inland lakes like Taihu Lake. The combinations of B8-B19 are suitable to detect Cu (R= 0.433) and Zn content (R= 0.529). B11-B18 are applied to estimate Pb (R= 0.670), B8-B7 are chosen to develop the retrieval model of Cd content (R= 0.640).","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127181435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378657
T. Jia
The evolving networks have attracted extensive attentions in the past several years since the availability of networked data in many fields, such as social media, transportation, and the World Wide Web. This paper presents a simple method to measure the structure dynamics of the evolving networks using the concepts of stable nodes and new nodes. Stable nodes refer to the ones that never disappear in the whole observing time period, and they can be used to examine the structure robustness of the evolving networks. New nodes mean the ones appearing in the current time period but not in the previous time period, and they are employed to investigate the structure change of the evolving networks. To verify the usage of our method, we apply it to explore the evolution of the US Airport Network (USAN) from the year 1991 to 2011 and the street network in Beijing from the year 2009 to 2012. Our findings suggested universal structural patterns of the evolving networks, which might benefit network scientists to devise new models or transportation administrators to better design and manage the network.
{"title":"Uncovering structure dynamics of the evolving networks","authors":"T. Jia","doi":"10.1109/GEOINFORMATICS.2015.7378657","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378657","url":null,"abstract":"The evolving networks have attracted extensive attentions in the past several years since the availability of networked data in many fields, such as social media, transportation, and the World Wide Web. This paper presents a simple method to measure the structure dynamics of the evolving networks using the concepts of stable nodes and new nodes. Stable nodes refer to the ones that never disappear in the whole observing time period, and they can be used to examine the structure robustness of the evolving networks. New nodes mean the ones appearing in the current time period but not in the previous time period, and they are employed to investigate the structure change of the evolving networks. To verify the usage of our method, we apply it to explore the evolution of the US Airport Network (USAN) from the year 1991 to 2011 and the street network in Beijing from the year 2009 to 2012. Our findings suggested universal structural patterns of the evolving networks, which might benefit network scientists to devise new models or transportation administrators to better design and manage the network.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126448496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378700
Yunqiang Zhu, Chunxia Guo, Runda Liu, R. Bajracharya, S. Fang
There have been considerable growth in awareness of Geographic Information System (GIS) in the Hindu Kush-Himalayan (HKH) region, and there are initiatives underway for developing regional Spatial Data Infrastructures (SDIs). Such infrastructures are being advocated to fulfill the gaps in data standards, data sharing protocols and software platform so that resources can be saved from duplications and societies can benefit from easy access to data. These initiatives include sharing of data such as basic geographic map, socio-economic data, environmental or disaster related data etc. These activities advance scientific discovery and help decision makers to tackle problems caused by global climate change, promote regional sustainable development and better the lives of people living in this region. However, harmonizing data at various levels and across different disciplines is challenging as these data platforms are usually heterogeneous and lack inter-connection. Activities of cross-border data sharing is not well implemented, its sharing practice requires unique technical standards and specific software platforms. China has growing interests to participate in data sharing activities in HKH region, an initiative was set up to conduct pilot researches to promote HKH region data sharing. One of the components of this initiative is to build a HKH region data sharing network (platform) in close collaboration with International Centre for Integrated Mountain Development (ICIMOD) and other related agencies in the region. This paper mainly focuses on the technical aspect, study on the technical standards and software platform selection in the process of building the network. It reviews relating data sharing network across the world and in HKH region. The study believes that the emergence and maturity of open source software and service models reduced the difficulty in constructing platform for data sharing. Open source software is open, flexible, and low cost and supports a number of technical standards; it provides tools and methods for jointly building cross-border and inter-agency data sharing network. Therefore, in terms of technical standards and platform architecture, GeoNetwork Open source is applicable for data sharing in HKH region. This paper discusses the framework, technologies, core function of the network, and then reviews key points in platform customizing and developing based on GeoNetwork. The work provides a common framework for regional data sharing and exchange.
兴都库什-喜马拉雅(HKH)地区对地理信息系统(GIS)的认识有了相当大的增长，并且正在采取措施发展区域空间数据基础设施(sdi)。正在提倡这种基础设施，以填补数据标准、数据共享协议和软件平台方面的空白，从而节省资源，避免重复，使社会能够从轻松获取数据中受益。这些举措包括共享基本地理地图、社会经济数据、环境或灾害相关数据等数据。这些活动推动科学发现，帮助决策者解决全球气候变化造成的问题，促进区域可持续发展，改善本地区人民的生活。然而，协调不同级别和不同学科的数据是具有挑战性的，因为这些数据平台通常是异构的，缺乏相互连接。跨境数据共享活动实施不到位，其共享实践需要独特的技术标准和特定的软件平台。中国对参与香港地区的数据共享活动越来越感兴趣，并提出了一项倡议，进行试点研究，以促进香港地区的数据共享。该倡议的一个组成部分是与国际山地综合发展中心(ICIMOD)和该地区其他相关机构密切合作，建立一个香港地区数据共享网络(平台)。本文主要从技术方面入手，对网络建设过程中的技术标准和软件平台选择进行了研究。检讨全球及香港地区的有关数据共享网络。研究认为，开源软件和服务模式的出现和成熟，降低了构建数据共享平台的难度。开源软件是开放的、灵活的、低成本的，并且支持许多技术标准;为共同建设跨界、跨机构数据共享网络提供了工具和方法。因此，从技术标准和平台架构来看，GeoNetwork Open source适用于HKH地区的数据共享。本文讨论了该网络的框架、技术、核心功能，并对基于GeoNetwork的平台定制与开发的关键点进行了综述。这项工作为区域数据共享和交换提供了一个共同框架。
{"title":"Prospective on data sharing network, technical standards and software platform in the HKH region","authors":"Yunqiang Zhu, Chunxia Guo, Runda Liu, R. Bajracharya, S. Fang","doi":"10.1109/GEOINFORMATICS.2015.7378700","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378700","url":null,"abstract":"There have been considerable growth in awareness of Geographic Information System (GIS) in the Hindu Kush-Himalayan (HKH) region, and there are initiatives underway for developing regional Spatial Data Infrastructures (SDIs). Such infrastructures are being advocated to fulfill the gaps in data standards, data sharing protocols and software platform so that resources can be saved from duplications and societies can benefit from easy access to data. These initiatives include sharing of data such as basic geographic map, socio-economic data, environmental or disaster related data etc. These activities advance scientific discovery and help decision makers to tackle problems caused by global climate change, promote regional sustainable development and better the lives of people living in this region. However, harmonizing data at various levels and across different disciplines is challenging as these data platforms are usually heterogeneous and lack inter-connection. Activities of cross-border data sharing is not well implemented, its sharing practice requires unique technical standards and specific software platforms. China has growing interests to participate in data sharing activities in HKH region, an initiative was set up to conduct pilot researches to promote HKH region data sharing. One of the components of this initiative is to build a HKH region data sharing network (platform) in close collaboration with International Centre for Integrated Mountain Development (ICIMOD) and other related agencies in the region. This paper mainly focuses on the technical aspect, study on the technical standards and software platform selection in the process of building the network. It reviews relating data sharing network across the world and in HKH region. The study believes that the emergence and maturity of open source software and service models reduced the difficulty in constructing platform for data sharing. Open source software is open, flexible, and low cost and supports a number of technical standards; it provides tools and methods for jointly building cross-border and inter-agency data sharing network. Therefore, in terms of technical standards and platform architecture, GeoNetwork Open source is applicable for data sharing in HKH region. This paper discusses the framework, technologies, core function of the network, and then reviews key points in platform customizing and developing based on GeoNetwork. The work provides a common framework for regional data sharing and exchange.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114238176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378592
Beibei Wang, Kun Yang, Lei Yuan, Yanhui Zhu
The rapid development of remote sensing technology has led to an increasingly multi-sourced remote sensing data. Storage and management of massive remote sensing data is the basis of remote sensing work. Based on the promotion of urban establishment up at mountains in Yunnan Province, this paper takes the Dianchi Basin as the study area, through the analysis of different spatial resolution, different temporal resolution and different spectral resolution of remote sensing data in Dianchi Lake Basin, and studied the raster data storage mode in the database. Finally, by means of ArcSDE spatial database engine technology and SQL SERVER database technology and geodatabase data model, geospatial database of remote sensing data in Dianchi Lake Basin is designed, we achieved the unified storage and management of multi-source remote sensing data in Dianchi Lake Basin, improved the management efficiency of remote sensing data, and provide baseline data to support the development and urban construction of Dianchi Lake Basin.
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