2009 17th International Conference on Geoinformatics最新文献

{"title":"Parameter estimation in geographically weighted regression","authors":"Juan Luo","doi":"10.1109/GEOINFORMATICS.2009.5292988","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5292988","url":null,"abstract":"Proposed and implemented is a regression framework, which extends the programming language Java with regression analysis, i.e., the capability to do parameter estimation for a function. The regression framework is unique in that functional forms for regression analysis are expressed as Java programs, in which some parameters are not a priori known, but need to be learned from training sets provided as input. Typical applications of this regression framework include calibration of parameters of computational processes, described as OO programs. To implement regression learning, the compiler of this framework (1) analyses the structure of the parameterized Java program that represents a functional form, (2) automatically generates a constraint optimization problem, in which constraint variables are the unknown parameters, and the objective function to be minimized is the sum of squares of errors with regarding to the training set, and (3) solves the optimization problem using an external nonlinear optimization solver. Then the framework executes as a regular Java program, in which the initially unknown parameters are replaced with the found optimal values. The syntax and semantics of the regression framework are formally defined and exemplified in the geographically weighted regression model.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121205189","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":"A new R-tree node splitting algorithm using MBR partition policy","authors":"Yan Liu, Jinyun Fang, Chengde Han","doi":"10.1109/GEOINFORMATICS.2009.5293260","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293260","url":null,"abstract":"In this paper we introduced a new R-tree node splitting algorithm. As an indexing technique for multi-dimensional data, R-tree is widely used in geographical information systems, CAD systems and spatial databases. An R-tree consists of nodes which in turn consist of records. Each node in R-tree must contain limited number of records in order that it can be stored within one disk block, thus a node splitting algorithm is used while inserting a new record into a full node. A node splitting algorithm is one of the crucial factors of the query performance of an R-tree since bad splits would result in an inefficient R-tree structure. At first we gave an efficient, linear node splitting algorithm that could construct an R-tree fast, by partitioning the minimum bounding rectangle of the node according to the shape of the node's MBR and the shapes of the MBRs of the node's records. Then we found that this node splitting algorithm would generate uneven nodes sometimes, that is the node to be split might be split into two nodes with one of them containing less records than the minimum number of records required. We then developed an algorithm to balance those uneven splitting results to meet the demands of the R-tree definition. At Last we improved our node splitting algorithm by considering the siblings of the splitting node. The siblings of the splitting node were picked up during the phase of choosing node to insert record and were put together with the splitting node to generate a better result. We performed several experiments to compare our node splitting algorithms with some other node splitting algorithms on both synthetic and real world data. These experiments tested the tree-construction costs and the query performance of the resulting R-trees. The results showed that the tree-constructing cost of our algorithm was lower than others and although the balancing procedure degraded the performance, our algorithm outperformed other node splitting algorithms in queries of the resulting R-trees.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132210050","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":"Application of ASAR PSI techonology to ground deformation detection in mega-cities of the Pearl River Delta Region in China","authors":"Qing Zhao, Hui Lin, Yuanzhi Zhang, Liming Jiang","doi":"10.1109/GEOINFORMATICS.2009.5293413","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293413","url":null,"abstract":"In this study, we present the application of Persistent Scatterer Interferometry (PSI) technology with ENVISAT (European satellite) Advanced Synthetic Aperture Radar (ASAR) images to detect the ground deformation in the Guangzhou urban area and Hong Kong International Airport (HKIA). A map of ground deformation rates in Guangzhou with scattered points shows that the maximum subsidence (rise) rate is up to -26 to -20 mma-1 (16-21 mma-1), implying the study area as an active zone of the ground deformation. Based on the point targets, a contour map of ground deformation rates was then generated. The map indicates that three major subsidence zones are located in the middle-west, east, and southwest of Guangzhou urban area, respectively. Six ground collapse accidents that occurred in Guangzhou during 2007-2008, within these subsidence zones, qualitatively validated the results. In the case of detecting ground deformation in HKIA, the ground truth data provided by the Airport Authority Hong Kong were used to correct the model, which is then applied to analyze the systematic errors existing in ASAR PSI-detected ground deformation rates. 2250 corrected ASAR PSI-detected points of annual ground deformation rates were used for the statistical analysis. The obtained results agree the Gaussian distribution well in our case studies.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131625650","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":"Prospectivity mapping for gold deposits hosted by iron formation, in a portion of Western Churchill Province that includes Melville Peninsula, Nunavut, Canada","authors":"P. Behnia, J. Kerswill, G. Bonham-Carter, Jeff Harris","doi":"10.1109/GEOINFORMATICS.2009.5293437","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293437","url":null,"abstract":"Data-driven models employing weights of evidence (WofE) and logistic regression (LR) have been used in a series of experiments to characterize the spatial association of iron formation-hosted gold with geological and geophysical features in the Meadowbank to Melville Peninsula corridor of the northern Rae Domain. A number of geological features were extracted from a 1:550,000 bedrock compilation map and used as evidence. A total of 52 BIF-hosted gold occurrences were available for use in the training sets. For each experiment, weights were determined for individual evidence layers based upon the selected training sites. The evidence maps were reclassified into binary or ternary (2- or 3-class) maps guided by contrast values and associated studentized contrast values calculated on the ordered data. The evidence layers were combined using WofE and LR models to create posterior probability target maps for BIF-hosted gold deposits. To evaluate the validity of the mineral potential maps, training and testing sets were used to assess efficiency of classification and prediction of potential maps respectively.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132833271","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":"Research the influence of the ring road factor on route choice","authors":"Xiao Hou, Jing Zhang, Chong Du, Lianjun Zhang","doi":"10.1109/GEOINFORMATICS.2009.5292898","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5292898","url":null,"abstract":"Spatial relationships, which refer to the relationship among some geographical entities, are very important in geographic information systems. Involving the relations of topology, distance and direction, route choice problem is also the contents of spatial relationships. This paper aims to explore the ring roads impact on travelers when choosing routes in Beijing, and to provide a reference model of the route inquiry. Focusing on the 3rd ring road in Beijing, we propose the Squares Model, which based on the framework of 12 orientation coordinates and the name of each sections of the 3rd ring road. Based on the topological relationship between two-points and one closed curve, this paper analyze 18 kinds of typical topological relations between the squares and the start and end points of a route. It also studies the impact of ring road on travelers' route choice through a cognitive experiment, in which the participants are members of the public in Beijing. The results show that the ring roads affect the travelers' choice of the route up to a certain extent.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132182938","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":"Land use transition process analysis using polygon events and polygon status: A case study of Tsukuba Science City","authors":"Chiaki Mizutani","doi":"10.1109/GEOINFORMATICS.2009.5293432","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293432","url":null,"abstract":"Land use transition is one of the most significant indices for understanding the phenomena which has occurred on the globe. The purpose of this study is to analyze land use transition process using polygon events and polygon status. As a result, newly developed roads have cut down existing farmland and other land uses. It made polygon shape divided and the divided polygon are merged neighborhood with same land use. Traditional land use analysis also will help to grasp land use trends in whole area. But it might be missing some parts of transition process. That is stable area inside of each land use classes. Using polygon events helps to extract truly changed area. Summarizing individual polygon events analysis with aggregated land use analysis, it examines transition process polygon by polygon. It will help to derive the future picture for study area using spatial diversities transition probability and help to examine land use transition process.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114839702","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":"The research on QoS assessment and optimization for geospatial service chain","authors":"Zhipeng Gui, Huayi Wu, Wei Liu, Yumin Chen","doi":"10.1109/GEOINFORMATICS.2009.5293531","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293531","url":null,"abstract":"User experience and satisfaction of web services and service chain are majorly determined by the quality of services (QoS), which is critical to services selection. Geo-data services and processing services are two fundamental services types of geo-services, where geo-data services provide geo-data, and processing services process and produce data. Therefore, the data quality of geo-data provided by geo-data services and the capabilities of geo-data processing to processing services are inherent characteristics and key quality factors of those geoservices. In this paper, the output quality factors are introduced to cope with above-mentioned characteristics of geo-services. Coupling with process quality factors (common measurement quality factors of web services), a preliminary QoS assessment model for geo-services is proposed. The dynamic feature and the aggregation functions of QoS factors are discussed. Finally, a services instances' optimization selection algorithm based on linear programming is designed.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122166168","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 improved methodology for paddy field measurement using LANDSAT ETM+","authors":"Yang Liu","doi":"10.1109/GEOINFORMATICS.2009.5293079","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293079","url":null,"abstract":"Farmland measurements and crop yields are two main scientific aspects of precision agriculture. Farmland development at Heilongjiang Province, China has been rapidly expanding since 1950's. Meanwhile, there has been a trend that dry farmlands are converted to paddy field since 1990's. Therefore, there is a demand for accurate updated information on the newly developed and expanded paddy field area. The objective of this research was to develop an operational approach and improve the existing methods for assessing paddy field area that would facilitate remote sensing based algorithms for measuring paddy field areas at county-level. LANDSAT ETM+ offers better spatial resolution over other sensors such as Moderate Resolution Imaging Spectroradiometer (MODIS). Four granules of LANDSAT ETM+ dataset were acquired for the study, and this research describes the methodologies used for processing the data and their functions in developing the classification of paddy field area. The software tools used for this research are ENVI and ArcGIS. The results suggest the methods that can be used for operational application of LANDSAT ETM+ for classification at county-level, and the measurement accuracy was approximately 87% of the validated ground truth data.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116851666","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":"Models and algorithms for contaminated area detection based on geospatial lifelines","authors":"Xiaotao Zhou, Jun Luo, Haohan Zhu, Wenqi Ju, Jianping Fan, F. Zhan","doi":"10.1109/GEOINFORMATICS.2009.5293205","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293205","url":null,"abstract":"Environmental factors are considered to be one of the elements responsible for the development of certain diseases. Examples of these environmental factors include deficiency of some elements (e.g., certain vitamins) that are necessary for maintaining a person's health or environmental contamination of an area by hazardous chemicals. For people living in a contaminated area, they are prone to get sick. If residential places are fixed for all people, then we can easily identify contaminated areas by locating clusters of patients with similar diseases. Unfortunately, this is not the case especially in modern society since people change their residential places frequently. In this paper we use patients' residential history (also called geospatial lifeline) to locate contaminated areas. In various domains, such as epidemiology and public health research, detection of space-time clusters is an important task. Current cluster analysis methods can only identify general hot spot in a given time period but cannot pinpoint the exact area where environmental factors may be responsible for the development of a disease. We propose a novel method to identify possible relationships between a disease and the locations where environmental factors might be responsible for the development of a disease. This method differs from previous methods in two ways. Firstly, we adopt the concept of geospatial lifeline which is actually a piecewise linear trajectory in three dimensional space (x, y dimensions plus time dimension). Secondly, based on disease principles, we divide a patient's geospatial lifeline into four periods: normal period, the period of being exposed to a contaminated area (exposure period), latent period, and sick period. Therefore, a geospatial lifeline is not only a spatial-temporal trajectory but also has useful semantic information in different parts of the trajectory. Based on patients' geospatial lifelines, this new method helps unearth unknown contaminated areas responsible for the development of a given disease and disclose other useful disease related information.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125900191","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":"Conversation and management of Hutong-historical and cultural district of Beijing Inner City supported by GIS","authors":"Tianhang Huang, A. Dang, Peiyi Zhang, Yang Yang, Songnan Wu","doi":"10.1109/GEOINFORMATICS.2009.5293241","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293241","url":null,"abstract":"Hutong, historical and cultural district, is the unique symbol of Beijing Inner City. In the redeveloping process of Beijing Inner City, how to conserve and manage Hutong district is a hot research domain which attracts most attentions. Without Spatial Information Technology likes GIS, it is hard to conserve and manage Hutong district very efficiently. On the other hand, with Hutong Management Information System (HMIS) based on GIS, it is easy to improve the conservation mode and promote the management efficiency.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129996133","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}