2012 20th International Conference on Geoinformatics最新文献_第8页

A cache framework for geographical feature store 地理特征存储的缓存框架

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270288

Hao Yu, Yuehu Liu, Chuan Tian, Liang Liu, Mingchao Liu, Yong Gao

{"title":"A cache framework for geographical feature store","authors":"Hao Yu, Yuehu Liu, Chuan Tian, Liang Liu, Mingchao Liu, Yong Gao","doi":"10.1109/Geoinformatics.2012.6270288","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270288","url":null,"abstract":"The performance of data access plays an important role in Geographical Information System (GIS) applications, especially for data I/O intensive applications, such as public web service. In order to get high performance for the data access, we proposed a cache framework, where vector data are stored in distributed main memories. We will describe our framework on system level and functional level. On system level, we employ Master-Slave model to be the basic architecture of our cache system and take “read-your-write” consistency as our consistency base line. On functional level, there are three key characteristics in our framework: first, we put all the vector data into distributed memories instead of disks and take the geographical feature as basic storage unit; second, we employ the Geohash algorithm as distributed spatial index. Third, we take asynchronous, scheduled total data persistency, which help us to rebuild the cache. Compared with traditional spatial database, we bring down the Atomicity, Consistency, Isolation and Durability (ACID) demands to get high performance. Topological relationships are not ensured either here. Redis, an open-source Key/Value store project, is employed to be the base of our framework. In the experiment we carried out, the data access performance is significantly speeded up.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"2 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":"133805159","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: 3

Evaluating road selectivity of urban-trip based on dynamic betweenness centrality 基于动态中间性中心性的城市出行道路选择性评价

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270333

Liang Zhou, F. Lu, Hengcai Zhang

{"title":"Evaluating road selectivity of urban-trip based on dynamic betweenness centrality","authors":"Liang Zhou, F. Lu, Hengcai Zhang","doi":"10.1109/Geoinformatics.2012.6270333","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270333","url":null,"abstract":"Improving both of the efficiency and reasonableness of path query are the key aspects in public travel information service research. Hierarchical spatial reasoning can solve the efficiency problem, but it cannot guarantee the reasonableness. As we know, road travel efficiency varies at different positions in the urban road network and the reasonableness of path query has close relation to the road selectivity. Since static road evaluation methods used in the past are not suitable in public travel information service, we propose an approach to evaluate road selectivity based on the betweenness centrality calculation in graph theory. By using this approach, we estimate the urban road travel efficiency in dynamic urban road environment that can reveal the traffic smoothness and connectivity at different time windows. The empirical results show that this approach can overcome the limitation caused by data boundaries. Besides, the hierarchical characteristics presented by selectivity evaluation results can be used as a hierarchical criterion in the hierarchical spatial reasoning (HSR) algorithm to improve the reasonableness of the path query result.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"9 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":"127715003","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

A novel feature-based and application-oriented approach to Marine Sub-bottom Acoustic spatial data fusion 一种基于特征和面向应用的海底声空间数据融合新方法

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270285

Xiaojun Jiang, Shaohua Ren, Yongzhong Shi

{"title":"A novel feature-based and application-oriented approach to Marine Sub-bottom Acoustic spatial data fusion","authors":"Xiaojun Jiang, Shaohua Ren, Yongzhong Shi","doi":"10.1109/Geoinformatics.2012.6270285","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270285","url":null,"abstract":"Aiming at the deficiencies in the field of Marine Sub-bottom Acoustic Exploration (MSAE), such as inefficiency in data management and limitation in data representation, full analyses are made on the technology and the exploring data of MSAE. A theme-based data integration model is proposed for MSAE data integration based on the themes of geomorphology, topography, and stratigraphy. The efficiencies of MSAE data management and use are consequently improved. Then a feature-based and application-oriented data fusion model is proposed for the full use and visual representation of the MSAE data. Evaluation of the two proposed models and their results are then made. With the successful application of the marine pipe route inspection (MPRI) in Hangzhou Bay, a GIS prototype system is constructed. All these studies show that the proposed models can improve the efficiencies of data management and use, meet the data needs of higher level applications, and implement the consistent visual data representation, in the field of MSAE. It can provide some references to the related applications in the field.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"3 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":"126662806","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 method for rapid extraction of vegetation supply water index: Using HJ-1B satellite data 植被供水指数快速提取方法:利用HJ-1B卫星数据

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270259

Zhuowei Hu, Meichen Guo, Minbin Jiang, Lai Wei, Shuo Zhang

引用次数: 0

The measurement study of fire-fighting spatial accessibility in Beijing based on M2FCA 基于M2FCA的北京市消防空间可达性测度研究

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270348

Xiaokun Niu, Xiaojuan Li, Yonghua Sun, Nian Peng, Fahui Wang

{"title":"The measurement study of fire-fighting spatial accessibility in Beijing based on M2FCA","authors":"Xiaokun Niu, Xiaojuan Li, Yonghua Sun, Nian Peng, Fahui Wang","doi":"10.1109/Geoinformatics.2012.6270348","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270348","url":null,"abstract":"The paper presents a modified method which bases on the traditional two-step floating catchment area method and the gravitational method. the traditional two-step FCA method deals with distance and time obstruction by bisection method, any point within the threshold range have the same accessibility. Such approaches have been criticized for ignoring the differences which are caused by different distance factors. The M2FCA method addresses the internal spatial distribution problem by deriving fire area data from a smaller unit, hexagon cell. The potential cross border demand-supply interaction is taken into consideration by using circles of reasonable radius around each hexagon cell centroid as the basic spatial units, which can encompass areas on either side of an administrative border. After division of maximum threshold range which fire brigade could reach in time, the M2FCA method considers the demand point within the threshold have different access to the fire fighting service capacity during the process of fire-fighting spatial accessibility measurement study of Chengbaqu (former) Beijing city. The result shows that the improved M2FCA could reveal more detailed differences of spatial distribution in larger region, it could measure fire-fighting spatial accessibility precisely, it could accurately reveal the real fire-fighting service capacity people obtain, and predicate the areas without fire-fighting service, therefore, M2FCA could provide the basis for relevant authority to make decisions for planning and selecting sites.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"234 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":"115596721","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

Using SOM and DBSCAN-based models for landslide hazard and spatial correlations analysis: A case study in central Taiwan 基于SOM和dbscan模型的滑坡危险性及其空间相关性分析:以台湾中部地区为例

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270257

Pi-Hui Huang, W. Chou, Wen-Tzu Lin

{"title":"Using SOM and DBSCAN-based models for landslide hazard and spatial correlations analysis: A case study in central Taiwan","authors":"Pi-Hui Huang, W. Chou, Wen-Tzu Lin","doi":"10.1109/Geoinformatics.2012.6270257","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270257","url":null,"abstract":"Typhoon Morakot, occurred on August 8, 2009, caused serious damages such as lots of villages and bridges destroyed by landslides, debris flow and flood hazards in south-central and eastern Taiwan. The Alisan Creek watershed in central Taiwan was one of serious hazard areas. This study proposed (1) two-layer SOM-based classifier coupled with pre- and post-typhoon SPOT satellite images to extract accurate landslide, (2) the concept of landslide slope unit (LSU) derived from automated watershed modeling delineation to calculate spatial characteristics of the landslide and (3) DBSCAN-based model to analyze the spatial correlations at landslides to assess the priority of landslide treatment sites. The evaluated result shows that the landslide area soon after the typhoon is 619.91 ha (Kappa coefficient 0.9766). The studied watershed was delineated as 596 LSU, using the threshold area of 10 ha, in which there are 29, 86 and 481 of high, medium and low potential zones, respectively, clustered based on the landslide scale. According to DBSCAN spatial analysis, high and medium potential zones could be clustered as four and five groups. However, the clustering effect of low potential zones was not apparent due to the scattered distribution. High and medium potential zones also show tight spatial correlations due to adjacent to each other and/or linked in the same sub-watershed. Both potential zones would increase the possibility of secondary disasters, such as debris flows and additional landslides, and directly threaten downstream neighboring villages during typhoon seasons. The landslides at the hazardous zones should be treated in high priority. The analyzed results are useful for decision making and policy planning watershed management in the landslide area.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"13 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":"116803787","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

Identifying specific spatial tasks through clustering and geovisual analysis 通过聚类和地理视觉分析确定特定的空间任务

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270301

A. Tahir, G. Mcardle, M. Bertolotto

{"title":"Identifying specific spatial tasks through clustering and geovisual analysis","authors":"A. Tahir, G. Mcardle, M. Bertolotto","doi":"10.1109/Geoinformatics.2012.6270301","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270301","url":null,"abstract":"As people's mobility has increased so too has the use of web maps and other geo-technologies for navigational purposes. Daily usage of these technologies, either embedded in smart phones or through advanced Web GIS, involves carrying out specific spatial tasks. Such spatial tasks can be of various types, context and also consider the physical environment in which the task is being performed. By capturing and analyzing users map interactions, common behavior along with interests and dislikes can be identified and used as a basis on which to study map personalization and adaptation. Completing a spatial tasks essentially corresponds to a mouse trajectory represented as a series of mouse cursor positions on a web map. The challenge is to extract meaning from this spatio-temporal dataset. With the synergy of exploratory visualization and data-mining techniques, we present a novel approach to automatically identify and validate a number of spatial tasks forming complex mouse trajectories within a given study area. The task validation justifies trajectory clustering techniques as well as assisting in attaching semantics to the visual interpretation. This research opens further avenues for studying map personalization.","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":"123919977","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

Research on parallel computing of spatial vector data conversion based on common interface 基于公共接口的空间矢量数据转换并行计算研究

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270273

Xiaohui Jiang, Manchun Li, Tao Huang, Shuai Zhang, Zhibing Jin, Zhenjie Chen

引用次数: 1

Using an improved spatial clustering model for evaluation of industry agglomeration 基于改进空间聚类模型的产业集聚评价

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270258

Pi-Hui Huang, T. Chou, Wentzu Lin

{"title":"Using an improved spatial clustering model for evaluation of industry agglomeration","authors":"Pi-Hui Huang, T. Chou, Wentzu Lin","doi":"10.1109/Geoinformatics.2012.6270258","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270258","url":null,"abstract":"In the past researches, industrial agglomeration mainly focused on single or particular industry and less on spatial industrial structure and mutual relations. In addition, industrial cluster indeed benefits industry development. To fully control the status and characteristics of district industrial, cluster can facilitate to improve the competitive ascendancy of district industry. The related researches on industrial spatial cluster were of great significance for setting up industrial policies and promoting district economic development. In this study, an improved model that combines DBSCAN and SOM was developed for analyzing industrial cluster. Different from distance-based algorithm for industrial cluster, the proposed model can calculate spatial characteristics between firms based on DBSCAN algorithm and evaluate the similarity of attributes between firms based on SOM model. The demonstrative data sets, 25 random sampling of firms around Taichung County in central Taiwan, were analyzed for verifying the practicability of the proposed model. The analyzed results indicate that the proposed model is suitable for evaluating spatial industrial cluster. This research benefits on regional development decision-making for local government.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"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":"134513230","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

Object-oriented land cover classification of HJ-1B CCD image through multiple classifier fusion 基于多分类器融合的HJ-1B CCD图像面向对象土地覆盖分类

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270346

Jiahui Xu, W. Ju, Zhongwen Hu

引用次数: 3