{"title":"Building-based urban land use classification from vector databases in Manchester, UK","authors":"M. Hussain, Robet Barr, Dongmei Chen","doi":"10.1109/Geoinformatics.2012.6270327","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270327","url":null,"abstract":"The recognition, analysis and classification of urban structures are important in urban land use modeling. The form and the function of individual urban elements such as buildings and street blocks help us better understand the urban morphology. The types, layout and arrangement of these buildings form up the local characteristics of urban areas. A model has been developed to classify urban areas based on the cartometric properties of buildings and the patterns they make. Supervised and un-supervised classification algorithms from data mining techniques along with GIS are explored to help create a framework for extracting information from vector databases and classifying building and blocks. The methodology is developed and applied to Manchester metropolitan in the UK.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"218 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114449452","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}
{"title":"Trends in temperature and extreme temperature over the Beijing-Tianjin-Hebei Metropolitan Region During 1957-2009","authors":"D. Meng, H. Gong, Xiaojuan Li, Demin Zhou","doi":"10.1109/Geoinformatics.2012.6270336","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270336","url":null,"abstract":"Study on change of weather and climate extremes has become an important aspect in modern climate change research. Based on the data of daily temperature from year 1957 to 2009, the spatial and temporal features of trends of extreme climate events are studied by spline function interpolation, linear regression, generalized least squares and trend analysis, and the major conclusions are summarized as follow: All the temperature indices including average temperature, average temperature anomaly, average maximum and minimum temperature annually, in January and July had showed an upward trend, with an asymmetric trend temporally, whereas the upward trend in winter is greater than that annually and in summer. The spatial distribution of inter-annual temperature changes showed that rates of temperature change tend to increase gradually, centered at north of Chengde, but with obvious spatial and seasonal differences. That is to say, at high latitude to north direction; generally temperature rise rate in July is low, while high in January. Annual average air temperature, temperatures in April, July, October and January had showed an upward trend with rates of 0.3785°C/10a, 0.4371°C/10a, 0.1988°C/10a, 0.2682°C/10a and 0.4841°C/10a respectively. Extreme maximum and minimum annual temperatures showed warming trends. And extreme minimum temperature warming trend is much higher than the increase in extreme maximum temperatures, with rates of 0.85 °C/10a, and 0.17 °C/10a. Days with the maximum temperature above 35°C and extreme high temperature days tend to increase, where the former days change was not statistically significant; and days with the minimum temperature below 0°C and extreme minimum days significantly tend to become less, except in Chengde station, which making frost-free period significantly longer, especially in the western region, and frost season shortened by nearly 30 days in the past 50 years in the region.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122118830","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}
D. Xiang, Liangming Liu, Laigen Dong, Ming Li, Debao Tan, Yuanlai Cui
{"title":"Natural disaster risk communication-understandings, framework, targets and challenges","authors":"D. Xiang, Liangming Liu, Laigen Dong, Ming Li, Debao Tan, Yuanlai Cui","doi":"10.1109/Geoinformatics.2012.6270306","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270306","url":null,"abstract":"We are evolving into a society with increasingly acute levels of natural disaster risks which are problems that we can do something about. Natural disaster risk communication (NDRC) is the only way to achieve the overall objective of natural disaster risk reduction strategies. In this paper, the term NDRC is firstly defined. Then an NDRC framework based on two-way communication, which outlines the primary elements as stakeholders, messages, platforms, and settings, is proposed and formulated. Finally, the targets and challenges of researches and practices on NDRC are attempted to list and outline.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123689276","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}
{"title":"An internet-based prototype platform for natural disaster risk communication","authors":"Laigen Dong, L. Xiong, Linglin Zeng","doi":"10.1109/Geoinformatics.2012.6270314","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270314","url":null,"abstract":"China is one of the countries which are profoundly affected by natural disasters in the world. The investigation revealed that domestic natural disaster risk communication (NDRC) platforms cannot meet the increasing demands of NDRC because of vague classification of natural disaster stakeholders, difficulty of judging the reliability of risk message and lack of two-way communication means. These problems are studied in this paper. First, the stakeholders are classified as governments, experts and the public according to cases study. Then the communication process-oriented evaluation system of natural disaster risk message is built with multi-index comprehensive evaluation method. At last, the framework of internet-based NDRC platform is proposed and demonstrated.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115355036","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}
{"title":"Database construction of general land use plan: A case study of Changzhou National Hi-Tech District (CND)","authors":"Shuo Yan, Manchun Li, Yongxing Wang, Xiaowei Ma, Jing Zhang, Feixue Li","doi":"10.1109/Geoinformatics.2012.6270275","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270275","url":null,"abstract":"The informatization of management is a trend to adapt to the new managerial requires. In order to avoid the existence of information islet, the development direction of land informatization has focused on the construction of database. Instead of “Mange land by maps”, the mode of land management has become “Manage land by database”. The database of the general land use plan can be separated to three parts: spatial database, table database and metadata. GIS is the best tool to construct planning database because of the complex relationship between tables and the diversity of geographic data. Some preliminary work such as collection of literature and statistics should not be overlooked. In this paper, the details of the database construction process associated with some key issues are illustrated. Proper choice of software and applications can improve the efficiency of your work. At last, some related issues are discussed: coordinate system related issues, prime farmland issues, tolerance and resolution, and database capacity.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123608194","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}
{"title":"Assessment of wetland ecological health in Honghe from 1975 to 2006","authors":"Yiran Zhang, Yihan Wang, Demin Zhou","doi":"10.1109/Geoinformatics.2012.6270353","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270353","url":null,"abstract":"Wetland is a particular ecosystem between land and sea. It is one of the most important environmental capitals all over the world. In this paper, theories of wetland ecosystem health and “Pressure-State-Response” model are used as the basic principle. Series of wetland ecosystem health indices are structured. According to the characters of study area, RS images in 1975, 1989 and 2006 are selected as the main data resources, social-economic statistical data and landscape pattern indices as referenced data. Honghe National Natural Reserve (HNNR) and three farms around are the sub-units to assess the environmental changes for 30 years under the intense human activities. The results show: the health condition in HNNR declined to small extent, which sustains the health condition. However, under the large-scale and intense human disturbance, health condition of three farms around declined sharply. The results may provide scientific bases for both production and management of wetland by disclosing the spatial distributing rules and analyzing the impact on environment brought because of reclaiming.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129138066","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}
Deqiang Gan, K. Du, Y. Qu, Yuzhen Zhang, Linli Liu
{"title":"Remote sensing algorithm platform in Windows Azure","authors":"Deqiang Gan, K. Du, Y. Qu, Yuzhen Zhang, Linli Liu","doi":"10.1109/Geoinformatics.2012.6270351","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270351","url":null,"abstract":"As a kind of eScience, remote sensing needs numerous computing resources to process data. A lack of computing resources restricts many scientists' work. The advent of cloud computing solves the problem perfectly for its low-cost and highly scalable computing power. This paper introduces the remote sensing algorithm platform running on Windows Azure. Windows Azure provides the relevant algorithm and efficient and extensive computing resources to solve large scale remote sensing image processing computations for myriad researchers. This platform applies the MapReduce model that constructs the parallel data processing module to organize and coordinate work flow among virtual machines. Efficiency tests show that by using the MapReduce model, the remote sensing algorithm platform efficiency in data processing has been dramatically improved. This paper relays the experience of using Windows Azure in eScience scenarios similar to remote sensing for reference in future research.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129994784","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}
Zhibing Jin, Yingxia Pu, Jie-chen Wang, Jingsong Ma, Gang Chen
{"title":"Decomposition method of raster geographic data based on parallel computing","authors":"Zhibing Jin, Yingxia Pu, Jie-chen Wang, Jingsong Ma, Gang Chen","doi":"10.1109/Geoinformatics.2012.6270298","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270298","url":null,"abstract":"The paper mainly studied decomposition method of raster geographic data based on parallel computing. Firstly, we structured computational transformation model of raster geographic data; Then, we designed a computational experiment to validate the computational transformation model and evaluate the performance of k-NN classification algorithm. Results of parallel computational experiment show that the model can be applied to decompose a heterogeneous spatial computational domain representation into a balanced set of computing tasks; the speedup performance of parallelizing k-NN classification algorithm based on the transformation model is superior to the results from traditional method.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124124049","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}
Juri Engel, S. Pasewaldt, Matthias Trapp, J. Döllner
{"title":"An immersive visualization system for virtual 3D city models","authors":"Juri Engel, S. Pasewaldt, Matthias Trapp, J. Döllner","doi":"10.1109/Geoinformatics.2012.6270289","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270289","url":null,"abstract":"Virtual 3D city models are essential visualization tools for effective communication of complex urban spatial information. Immersive visualization of virtual 3D city models offers an intuitive access to and an effective way of realization of urban spatial information, enabling new collaborative applications and decision-support systems. This paper discusses techniques for and usage of fully immersive environments for visualizing virtual 3D city models by advanced 3D rendering techniques. Fully immersive environments imply a number of specific requirements for both hardware and software, which are discussed in detail. Further, we identify and outline conceptual and technical challenges as well as possible solution approaches by visualization system prototypes for large-scale, fully immersive environments. We evaluate the presented concepts using two application examples and discuss the results.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126978244","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}
{"title":"Identification of key changed land use type in LUCC: A case study of Guishui river basin","authors":"Pengfei Wu, H. Gong, Demin Zhou","doi":"10.1109/Geoinformatics.2012.6270261","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270261","url":null,"abstract":"In this paper, the transfer matrix of land use and cover change (LUCC) is studied as a network, in which land use types are nodes and area conversions between different land use types are links and the node betweenness method of complex network is applied to identify the key changed land use types. Compared with traditional method, complex network takes into account not only quantitative relation, but also transfer direction and system concept, namely the status and role of each land type in the transfer matrix network. Also, this method has been validated based on six Landsat images from 1978 to 2009 of Guishui river basin located in northwest Beijing. The results showed that grassland and farmland are all the key changed land use types from 1978 to 1993, and farmland and woodland were the key changed land use types during the periods 1993 to 2004 and 2004 to 2009, respectively.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132516850","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}