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2011 19th International Conference on Geoinformatics最新文献

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Application of spatio-tmporal data model in database of Beijing urban history 时空数据模型在北京城市史数据库中的应用
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981024
Hong Dai, N. Yu, Ziguan Chang
{"title":"Application of spatio-tmporal data model in database of Beijing urban history","authors":"Hong Dai, N. Yu, Ziguan Chang","doi":"10.1109/GEOINFORMATICS.2011.5981024","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981024","url":null,"abstract":"Spatio-temporal data model is a data model which completely simulates the objective world in terms of time, space and semantic features. It is an abstraction and representation of the objective real world. Spatio-temporal data model which focuses on the state description based on the time stamps is most natural for the space data with typical characteristic at all time points. This paper introduces four types of spatio-temporal data models applied the Beijing urban history data model which describes the spatial characteristics for urban form and urban spatial structure of Beijing city based on the events during history process. These four types of models focus on state description. Their advantages are that it is natural, simple and easy to be implemented for describing discrete urban outline and material space factors which are changed discretely.","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":"125518624","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
Syntax-based construction theory for symbols in web thematic maps 基于句法的网络专题地图符号构建理论
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980670
Fei Zhao, Qingyun Du, Xingguo Zeng
{"title":"Syntax-based construction theory for symbols in web thematic maps","authors":"Fei Zhao, Qingyun Du, Xingguo Zeng","doi":"10.1109/GEOINFORMATICS.2011.5980670","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980670","url":null,"abstract":"The construction for thematic map symbol is a very complex and intelligent process. This symbol can be automatically generated and easily shared on the web through the syntactic characteristics of statistical indicators and cartography visualization. This paper expounds the symbol types, inner structure and its design pattern. And a syntactic construction theory based on phoneme (thematic map primitive) — word (single thematic symbol) — sentence (combined symbols or complex symbols) structure model is put forward for automatic construction of thematic map symbol. As a result of this research, symbols can be defined using cartographic primitives which are arranged according to its syntactic principles. Its concept and schema is discussed, and some examples are presented.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"20 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":"126923137","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
Geographically Weighted Regression model (GWR) based spatial analysis of house price in Shenzhen 基于地理加权回归模型的深圳房价空间分析
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981032
Jijin Geng, K. Cao, Le Yu, Yong Tang
{"title":"Geographically Weighted Regression model (GWR) based spatial analysis of house price in Shenzhen","authors":"Jijin Geng, K. Cao, Le Yu, Yong Tang","doi":"10.1109/GEOINFORMATICS.2011.5981032","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981032","url":null,"abstract":"Through applying spatial statistical analysis, Geographical Weighted Regression (GWR) model and GIS technology, this study aims at finding the relationship between the effects of various factors and spatial distribution of residential house price. The traditional regression models are reviewed firstly, the model without the consideration of spatial characteristics cannot reach very nice precision to simulate the spatial distribution of the house price. In this study, the spatial statistical model, coupled with GIS as well as GWR model, is developed. The proposed model is validated using the house price data in Shenzhen, China, when considering these factors such as the land price, transportation, the distance to the commercial center, the distance to hospital, school, the house type, the brand of the house etc. It is demonstrated that our approach provides an effective model to present the distribution of the residential house price and serve as a tool for house price appraisal during the property tax levy process.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"15 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":"115321844","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: 10
Post-seismic deformation detection using permanent scatters technology for East Kunlun fault after 2001 Kokoxili earthquake 2001年科西利地震东昆仑断层永久散射体震后形变探测
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981044
Yanmei Zhang, Zaisen Jiang, Xiao Cheng
{"title":"Post-seismic deformation detection using permanent scatters technology for East Kunlun fault after 2001 Kokoxili earthquake","authors":"Yanmei Zhang, Zaisen Jiang, Xiao Cheng","doi":"10.1109/GEOINFORMATICS.2011.5981044","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981044","url":null,"abstract":"This paper presents the preliminary result for the detection of post-seismic relaxation from the 2001 Ms 8.1 Kokoxili earthquake using coherent targets. 14 scenes of ENVISAT ASAR imagery from 2003 to 2007 are adopted in this research to study the post-seimic surface deformation in Kusai Lake region. Two data combination strategies are adopted and compared. The result shows that coherent targets or PS method works in West China's plateau area for post-seismic crustal deformation observation. The measured historical deformations on point target positions are proved to be reasonable, which is about 7–9cm. Full combination based on less SLC data is proved to be much more efficient for PS data processing. Continuous deformation field was not retrieved because of the low density of PS.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"262 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":"115997628","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
Land use/cover change analysis in Wuhan city based on RS and GIS 基于RS和GIS的武汉市土地利用/覆被变化分析
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980664
Xiaoyan Zhou, Chuntao Kang
{"title":"Land use/cover change analysis in Wuhan city based on RS and GIS","authors":"Xiaoyan Zhou, Chuntao Kang","doi":"10.1109/GEOINFORMATICS.2011.5980664","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980664","url":null,"abstract":"The land use/cover change is a frontier subject in the research area of the current global environmental change. Typical regional LUCC case study is an important way to recognize of global change. Land use/cover change temporal and spatial detection process is that accumulates space-time continuum of land use / cover data, then establishes the multi-source space-time data platform of LUCC. The space-time distribution rules of LUCC are researched on that data platform based on RS and GIS. This study area is located in Wuhan city, using interpretation results of the TM image of Landsat 5 in 1996 and 2006. It takes a quantitative research on Land Use / Cover Change in Wuhan city based spatial analysis of GIS and methods of mathematical statistics in 1996–2006. The results show that:(1) General characteristics of land use/ cover show that cropland, grassland and unused land have decreased, forest, water and construction land area have increased in Wuhan city from 1996 to 2006; (2) These three kinds of changes of cultivated land into forest land, construction land and water which distribution are the most widely, and conversion rate is the largest in the 10 years.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"91 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":"116038903","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
Service-oriented integration and application of earthquake emergency information 面向服务的地震应急信息集成与应用
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981076
Xianghong Wang, Jiping Liu, Yong Wang, Shenghua Xu
{"title":"Service-oriented integration and application of earthquake emergency information","authors":"Xianghong Wang, Jiping Liu, Yong Wang, Shenghua Xu","doi":"10.1109/GEOINFORMATICS.2011.5981076","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981076","url":null,"abstract":"To integrate the kinds of multi-source heterogeneous emergency information resources, in this paper, a Service-oriented Architecture (SOA) based earthquake emergency information integration framework is proposed, and then discusses the service-based integration methods of seismic disaster information, thematic information, analysis and specialty GIS, and describes the key technologies of management, sharing integration and visualization of the multi-source heterogeneous mass emergency information. The service-based unified two-dimensional and three-dimensional disaster information service platform is developed by taking Yushu earthquake of China as a case study, it proves that this architecture is feasible and effective for emergency information integration solution.","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":"122375261","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 construction land expansion and the influence of site factors of the Pearl River Delta, China 珠江三角洲建设用地扩张及立地因子的影响
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980972
Yuyao Ye, Hongou Zhang, Kai Liu, Qitao Wu
{"title":"The construction land expansion and the influence of site factors of the Pearl River Delta, China","authors":"Yuyao Ye, Hongou Zhang, Kai Liu, Qitao Wu","doi":"10.1109/GEOINFORMATICS.2011.5980972","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980972","url":null,"abstract":"Landsat TM images of the Pearl River Delta taken in 1988, 1998 and 2006 are used to explore the Construction land Expansion and the Influence of Site Factors. The expansion shows the characteristics of gathering on plains and along major roads and coastlines in both periods from 1988 to 1998 and from 1998 to 2006. Several site factors, including landscape types and the distance from roads, coastlines, or the city center, had significant impacts on the expansion of construction land, influencing the direction, scale and intensity of the expansion. The site factors serve as important natural and spatial indicators of construction land expansion, describing tendencies to expand to locations in suburbs, plains and areas near roads or coastlines.","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":"122517211","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
Spatial characteristics of the residents' commuting behavior in Beijing 北京市居民通勤行为的空间特征
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981020
B. Meng, Liming Zheng, Huili Yu, Guifen Me
{"title":"Spatial characteristics of the residents' commuting behavior in Beijing","authors":"B. Meng, Liming Zheng, Huili Yu, Guifen Me","doi":"10.1109/GEOINFORMATICS.2011.5981020","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981020","url":null,"abstract":"Based on the questionnaire survey data in 2005 and 2010 at Beijing, the residents' commuting behavior was analyzed by using of GIS and spatial data analysis tools. The average commuting time in Beijing increased from 38 minutes in 2005 to 45 minutes in 2010. The commute time increases from the inner city to the suburbs. More people use the rail traffic system with the development of the urban track traffic system, but less people choose the bicycle at the same time. In different areas, the choosing of the transport options also has some difference. The “To Center” commuting flows are the main flows now, although there are “Out of Center” flows at the same time. In some special regions, the commuting flow was different because of the zones controlled by different functional definitions under the urban planning of Beijing.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"106 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":"122676374","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: 10
GIS-based regional prediction of landslides in Wanzhou County, the three Gorges Reservoir area 基于gis的三峡库区万州县滑坡区域预测
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980865
Caiyan Wu, Qing Wang, J. Qiao
{"title":"GIS-based regional prediction of landslides in Wanzhou County, the three Gorges Reservoir area","authors":"Caiyan Wu, Qing Wang, J. Qiao","doi":"10.1109/GEOINFORMATICS.2011.5980865","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980865","url":null,"abstract":"This paper presents a geo-statistical method to study the spatial relationship between landslides and their inner-factors on the regional scale in order to predict the regional susceptibility of landslides. The approach is based on digital databases, along with such methods as statistics, spatial analysis based on Geographic Information System, and interactive mapping. The prediction map of study area is created by overlaying the different spatial contribution map of each factor combined with the prediction model by the technology of GIS. In this prediction map, the authors classify the susceptibility of the landslides into 4 levels including high, medium, low and safe. The approach can be used not only to analyze the general characteristics of such a relationship, but also to depict its spatial distribution and development. The research results can also provide a sound basis for the landuse and town planning in the Three Gorges Reservoir area.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"1119 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":"122936114","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
InSAR detection of residual settlement of ocean reclamation areas in Shenzhen, China 深圳市填海造地残余沉降的InSAR探测
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980766
Qing Zhao, Hui Lin, Fulong Chen, Wei Gao
{"title":"InSAR detection of residual settlement of ocean reclamation areas in Shenzhen, China","authors":"Qing Zhao, Hui Lin, Fulong Chen, Wei Gao","doi":"10.1109/GEOINFORMATICS.2011.5980766","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980766","url":null,"abstract":"Shenzhen, is the third busiest container port in China. As a newly developed city, Shenzhen is undergoing tremendous change in landscape. The once hilly areas have been toppled over to make land. Reclaimed land is built to harbors, industry parks, and residential developments. However, ground settlement is a common phenomenon in reclaimed land, and mostly caused by settling of unconsolidated basements. This study uses Permanent Scatterer Interferometry (PSI) technologies to investigate ground settlement in the reclamation areas. A time series of ENVISAT ASAR images from May 2006 to September 2010 are used to generate ground settlement fields in the study area. Based on the ground deformation rate maps derived from ASAR images, thematic maps of ground settlement zones are generated. In general, the ground settlement zones are mainly distributed along the reclaimed harbor areas. The points and zones with great ground settlement values in the study area are located.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"62 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":"122577473","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
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