发布求助
文献互助 智能选刊 最新文献

2011 19th International Conference on Geoinformatics最新文献

筛选
英文 中文
Spatial analysis of ancient academies' distribution in Ganpo area, China 甘坡地区古代书院分布的空间分析
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981060
Chaoyang Fang, Ying Zeng, Hui Lin
{"title":"Spatial analysis of ancient academies' distribution in Ganpo area, China","authors":"Chaoyang Fang, Ying Zeng, Hui Lin","doi":"10.1109/GEOINFORMATICS.2011.5981060","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981060","url":null,"abstract":"This paper focuses on the study of the academies from the Tang to the Qing dynasty in the Ganpo area based on Geographic Information System (GIS), including collecting the data, designing spatial and temporal logic of academies, building the corresponding spatial database, and analyzing based on the database. By using the standard deviation and mean center spatial analyses, it indicates that at the spatial-temporal aspect, the academies hotspot moved from north to south, also had an extension trend from eastern area to inner western area. The central area made an important role in the academies' development due to its advantages in the geographical condition. And the whole coverage of the academies in this area increased from the Tang dynasty to the Qing dynasty. The comparison to the existent studies shows that the spatial analysis based on the spatial database is feasible.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131981581","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}
引用次数: 0
Map World based fast disaster image map service 地图世界基于快速灾害图像地图服务
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980704
Yang Mei, Miao Lu
{"title":"Map World based fast disaster image map service","authors":"Yang Mei, Miao Lu","doi":"10.1109/GEOINFORMATICS.2011.5980704","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980704","url":null,"abstract":"Map World is the first National Geographic Information Common Service Framework (NGICSF) of China, which is an authorized map website and offers comprehensive geographic information sources online in China. Map world, as a national geographical information service framework, has proportionally performed several processing. So, it enables fast collection of geographical focus in a disaster area through Map World. This paper presents a new architecture to extend our work on Map World and to connect Map World with emergency management, which can provide better emergency-oriented geographical information services. Emergency-oriented Fast Image Map System (EFIMS), a system built by the authors, supports rapid processes and producing of emergency image maps online.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"415 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132249107","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}
引用次数: 0
Urban spatial expansion of Xiangtan City, China 湘潭市城市空间扩展研究
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980773
Fang Liu, Zengxiang Zhang, Feifei Sun, L. Zuo, Xiao Wang
{"title":"Urban spatial expansion of Xiangtan City, China","authors":"Fang Liu, Zengxiang Zhang, Feifei Sun, L. Zuo, Xiao Wang","doi":"10.1109/GEOINFORMATICS.2011.5980773","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980773","url":null,"abstract":"With the accelerating process of urbanization, Chinese government and relevant planning authorities pay much attention to the urban expansion. In this paper, Xiangtan City, in China, is chosen to be the typical city, and its central built-up area information, during 1973–2008, is extracted by using remote sensing and GIS techniques. Urban expansion characteristics of Xiangtan City are systemically analyzed by using many indices, such as urban expansion speed, spatial expansion fractal characteristic, urban expansion's impact on local land use, and so on. According to temporal and spatial characteristics, and corresponding driving factors of Xiangtan City in the past 25 years, BP-CA model is constructed by considering advantages of back propagation neural network and cellular automata model in urban expansion simulation and prediction. Spatial expansion of the urban land in Xiangtan City during 2010–2020 is simulated, evaluated and predicted. This study provides scientific master plan for land use and city.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132550910","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}
引用次数: 1
The design and implementation of the geological data acquisition system based on mobile GIS 基于移动GIS的地质数据采集系统的设计与实现
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980829
Huajun Chen, K. Xiao
{"title":"The design and implementation of the geological data acquisition system based on mobile GIS","authors":"Huajun Chen, K. Xiao","doi":"10.1109/GEOINFORMATICS.2011.5980829","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980829","url":null,"abstract":"Aiming at the present geological field data collection problems, the paper applies the mobile GIS technology to the process of traditional geological data acquisition and proposes a new collection process programs. The system which is integrated by the new process programs is developed on the VC.NET platform, using Windows Mobile technology and MapX Mobile software development kit. The system achieves a mobile terminal acquisition system which consists of collection, display, query, edition and other functions. The system provides the industry with a complete geological field data collection solution. In the last part, the paper makes a conclusion of the research achievements and the problems and analyses the priorities and prospects for future research.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134130061","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}
引用次数: 11
Multi-resolution representation of 3D complex building models with features preservation 具有特征保留的三维复杂建筑模型的多分辨率表示
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980708
Shaobo Jiang, Bisheng Yang, Xuan Sun
{"title":"Multi-resolution representation of 3D complex building models with features preservation","authors":"Shaobo Jiang, Bisheng Yang, Xuan Sun","doi":"10.1109/GEOINFORMATICS.2011.5980708","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980708","url":null,"abstract":"Automated constructing multi-resolution 3D building models is an important issue in the contexts of virtual reality, progressive transmission and 3D GIS. This paper proposes a novel method to generate multi-resolution representations of the 3D complex building model with features preservation based on cell clustering. The quadratic error function is constructed to efficiently measure the clustering error of each cell. First, the 3D complex building model is converted into volumetric representation. Then, the boundary cells are progressively clustered into a coarser version and a corresponding cell binary tree is generated. Finally, the simplified building model can be extracted according to a modified dual contouring algorithm. The experimental results show that the proposed approach provides an efficient and robust solution for the automated generation of multi-resolution building models, with capability of preserving the dominated structure features.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134189412","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}
引用次数: 6
Snow monitoring of Xinjiang using MODIS data 基于MODIS数据的新疆积雪监测
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980896
Yuanyuan Zhang, Hua Fu, E. Dai
{"title":"Snow monitoring of Xinjiang using MODIS data","authors":"Yuanyuan Zhang, Hua Fu, E. Dai","doi":"10.1109/GEOINFORMATICS.2011.5980896","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980896","url":null,"abstract":"Snow is one kind of special underlying surface which has high reflectivity, low thermal conductivity and snowbroth hydrological effect, Xinjiang Uygur Autonomous Region in China is a snow-prone area, hereafter referred simply to Xinjiang area, frequent snow disaster leads to local people's production and life affected, so accurate monitoring of snow has very important significance. This paper describes the current status of snow research using remote sensing technology at home and abroad, the basic knowledge and application of EOS/MODIS is simply introduced, NDSI (Normalized Difference Snow Index) is a measuring method which bases on the difference of visible and NIR (near infrared) bands reflectivity of snow, it can discriminate snow and snow free. In the case study area, the algorithm which combined NDSI and bands brightness temperature difference is taken to extract snow cover, comparing with meteorological data, the snow cover extracted from MODIS data prove to be accurate.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131820523","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}
引用次数: 0
Spatial information distribution model based on the global subdivision theory 基于全局细分理论的空间信息分布模型
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981026
Nan Lu, Chengqi Cheng
{"title":"Spatial information distribution model based on the global subdivision theory","authors":"Nan Lu, Chengqi Cheng","doi":"10.1109/GEOINFORMATICS.2011.5981026","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981026","url":null,"abstract":"With the rapid development of earth observation, remote sensing and geographic information system technology, human can achieve a huge sum of spatial data. Spatial data distribution is the main aspect of spatial information services. One of the main contradictions is that the current limited network bandwidth cannot meet the request for achieving realtime space data. Global Subdivision proposed a new theory of spatial division and data organization. The patches in subdivision grids have the similar size and can cover the globe isotropic and seamlessly. Every patch's identification contains the location and scale information. So, the distribution system based on Global subdivision grid model can flexibly choose the different scale conditions and different spatial resolution data according to the user's interested region and real-time communications. Ultimately, through the multi-scale spatial distribution and progressive transmission, users can achieve the spatial data they want at anytime and anywhere.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130753882","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}
引用次数: 1
The spatial heterogeneity and correlation of population distribution in Xinjiang Uygur Autonomous Region 新疆维吾尔自治区人口分布空间异质性及相关性研究
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981116
Yuxin Zhu, Jinzong Zhang
{"title":"The spatial heterogeneity and correlation of population distribution in Xinjiang Uygur Autonomous Region","authors":"Yuxin Zhu, Jinzong Zhang","doi":"10.1109/GEOINFORMATICS.2011.5981116","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981116","url":null,"abstract":"Dispersion index and Gini coefficient can show the differences between areas. Spatial autocorrelation analysis is a way that analyzed data's correlation based on the spatial correlation analysis by studying correlation between one polygon and the nearest neighboring polygon through recognizing similar degree of major spatial object and other spatial objects. This paper studies the heterogeneity and correlation of population spatial distribution of Xinjiang Uygur Autonomous Region by using the spatial autocorrelation statistical techniques, Geography Information System (GIS) analysis, Gini coefficient and dispersion index based on county scale by population statistics data in 2009. There is obvious character of correlation between heterogeneity and correlation of population spatial distribution. The heterogeneity of population distribution is higher on the county scale than that on city scale, and the difference between two scales is high. Moran's I and Local Moran's I show that spatial concentration characteristic of population density is obvious.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130921378","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}
引用次数: 1
The analysis of allocation efficiency of R&D resource and its determinants — An empirical study of panel data from 31 countries 研发资源配置效率及其影响因素分析——基于31个国家面板数据的实证研究
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980845
Yongkai Zhang, Sanying Zhao
{"title":"The analysis of allocation efficiency of R&D resource and its determinants — An empirical study of panel data from 31 countries","authors":"Yongkai Zhang, Sanying Zhao","doi":"10.1109/GEOINFORMATICS.2011.5980845","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980845","url":null,"abstract":"The paper employs Stochastic Frontier Approach to analyze the allocation efficiency of R&D resources in 31 countries by Frontier 4.1 software. It reveals that U.S.A, Japan, Germany and Britain are the big power of R&D input and output, yet their R&D efficiency is not so high; Switzland, Sweden, South Korea, Canada and Australian have the highest R&D efficiency, and the R&D efficiency of China, India, Brazil and South Africa are relatively high. With the global R&D activities transferring to the region of lower cost and high efficiency, R&D Emerging Economies are arising. According to output elasticity of R&D resources, human labor is much stronger than that of funds. Furthermore, the output elasticity of human labor in high-income countries is stronger than that of middle-income countries, but the output elasticity of funds in high-income countries is weaker than that of middle-income countries.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130930182","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}
引用次数: 2
Uncertainty information fusion for flood risk assessment based on DS-AHP method 基于DS-AHP法的洪水风险评估不确定性信息融合
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980761
Yajuan Xie, Shanzhen Yi, Yang Cao, Yuntao Lu
{"title":"Uncertainty information fusion for flood risk assessment based on DS-AHP method","authors":"Yajuan Xie, Shanzhen Yi, Yang Cao, Yuntao Lu","doi":"10.1109/GEOINFORMATICS.2011.5980761","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980761","url":null,"abstract":"Assessment of flood risk is important to flood disaster forewarning and decision management. However, there are many uncertainty factors that influence flood risk assessment. In order to solve this problem, this paper proposes an information fusion method based on DS-AHP (Dempster-Shafer and Analytic Hierarchy Process) to deal with uncertainty information, and fuzzy set theory and GIS methods are also employed for spatial analysis and visualization of flood risk assessment. Firstly all possible elements are identified based on AHP method, then the fuzzy set is built and the membership function is constructed based on experts experience method. The results of the function are inputted as the basic probability assignment (BPA) of DS. Finally the preference relations of each decision are determined. The results show that the proposed methods are efficient and demonstrate the potential applications in the decision support of flood risk management.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133290043","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}
引用次数: 6
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信