Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378640
Kai Sun, Yunqiang Zhu, Peng Pan, Kan Luo, Dongxu Wang, Zhiwei Hou
Semantic heterogeneity of geospatial data is the main bottleneck for implementing linked data, intelligent recommendation and accurate discovery of data. The ontology theory is an effective way to solve the semantic heterogeneity of data. Morphological Characteristics is the important research content of Semantic heterogeneity of data. This paper mainly studies morphological characteristics of geospatial data, analyzes its concept, attribute, and relation, and puts forward its concepts system. On this basis, this paper builds the model of Morphology-Ontology of geospatial data and defines the method of formalization representation of morphological information. In the last part, this paper constructs Morphology-Ontology and applies it to the retrieval of metadata of the Data Sharing Infrastructure of Earth System Science. Verification tests show that Morphology-Ontology of geospatial data can solve the semantic heterogeneity of data effectively and improve the precision and recall of the result of data discovery significantly. The research methods and results of this paper are of great reference value to solve the semantic heterogeneity of data in other fields.
{"title":"Morphology-Ontology of geospatial data and its application in data discovery","authors":"Kai Sun, Yunqiang Zhu, Peng Pan, Kan Luo, Dongxu Wang, Zhiwei Hou","doi":"10.1109/GEOINFORMATICS.2015.7378640","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378640","url":null,"abstract":"Semantic heterogeneity of geospatial data is the main bottleneck for implementing linked data, intelligent recommendation and accurate discovery of data. The ontology theory is an effective way to solve the semantic heterogeneity of data. Morphological Characteristics is the important research content of Semantic heterogeneity of data. This paper mainly studies morphological characteristics of geospatial data, analyzes its concept, attribute, and relation, and puts forward its concepts system. On this basis, this paper builds the model of Morphology-Ontology of geospatial data and defines the method of formalization representation of morphological information. In the last part, this paper constructs Morphology-Ontology and applies it to the retrieval of metadata of the Data Sharing Infrastructure of Earth System Science. Verification tests show that Morphology-Ontology of geospatial data can solve the semantic heterogeneity of data effectively and improve the precision and recall of the result of data discovery significantly. The research methods and results of this paper are of great reference value to solve the semantic heterogeneity of data in other fields.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133389203","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378718
Haiquan Yang, Dingtao Shen, Huang Huang
This paper focuses on studies of Danjiangkou Reservoir and its neighboring areas. This region is geographically important, but the frequent occurrence of geological disasters has severely threatened the security of people living in the area, as well as the Middle Route Project for the diversion of water from south to north China. We reconstruct this area with a WebGIS-based three-dimensional (3D) real-time monitoring and early-warning system for geological disasters. This paper introduces the system's overall design, including data collection, database construction, system structure, and software function design, as well as the system's early-warning mechanism and relevant disaster prediction methods. Data storage is split into spatial and attribute databases. These combine real-time results received by sensors in the disaster zone, including transmitted data, natural geographical data, meteorological data, aerial photo and satellite data, and manual observation data. With a Browser/Server structure-based design, the 3D functionality of the system is implemented on the TerraGate platform. The proposed system is an effective disaster prediction model, and can successfully realize real-time monitoring and early-warnings of geological disasters in the area.
{"title":"A WebGIS-based monitoring and early-warning system for geological disasters","authors":"Haiquan Yang, Dingtao Shen, Huang Huang","doi":"10.1109/GEOINFORMATICS.2015.7378718","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378718","url":null,"abstract":"This paper focuses on studies of Danjiangkou Reservoir and its neighboring areas. This region is geographically important, but the frequent occurrence of geological disasters has severely threatened the security of people living in the area, as well as the Middle Route Project for the diversion of water from south to north China. We reconstruct this area with a WebGIS-based three-dimensional (3D) real-time monitoring and early-warning system for geological disasters. This paper introduces the system's overall design, including data collection, database construction, system structure, and software function design, as well as the system's early-warning mechanism and relevant disaster prediction methods. Data storage is split into spatial and attribute databases. These combine real-time results received by sensors in the disaster zone, including transmitted data, natural geographical data, meteorological data, aerial photo and satellite data, and manual observation data. With a Browser/Server structure-based design, the 3D functionality of the system is implemented on the TerraGate platform. The proposed system is an effective disaster prediction model, and can successfully realize real-time monitoring and early-warnings of geological disasters in the area.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130386342","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378672
Binbin Xiang, Xu Li, Min Zhang, Lifei Lu, Fa Li, Binru Zhao, Zhipeng Gui
Distributed geospatial web services have been widely utilized in scientific researches, public web applications and emergency responses. However, due to the high cost and limitation of reality for these potential applications, it is necessary to diagnose the execution of the distributed geospatial web services before applying them in real-world. In this article, we introduce an extensible framework that provides the users with the capacity to simulate the execution of distributed geospatial web services. Specifically, it can simulate the task arrival, computing resource usage, execution status, as well as execution results of geospatial web services. It also provides the statistics and evaluation function of the results of execution. The proposed simulation framework can be divided into three modules, i.e., a web Graphic User Interface (GUI), a simulator, and a database. The GUI is in charge of the interaction functions for specifying simulation parameters and visualizing the execution status dynamically. The simulator module provides a flexible mechanism to integrate a variety of simulation features by using a simulator coordinator. The database is for storing the real-time status and historical simulation data. The experiment demonstrates that the proposed framework can 1) facilitate the evaluation of the performance and reliability of the web service in advance, 2) help users find the critical path and the bottleneck of the processing workflow, and 3) provide useful information for further improvement in the performance and for dealing with the unexpected events.
{"title":"An extensible simulation framework for diagnosing the execution of the distributed geospatial web services","authors":"Binbin Xiang, Xu Li, Min Zhang, Lifei Lu, Fa Li, Binru Zhao, Zhipeng Gui","doi":"10.1109/GEOINFORMATICS.2015.7378672","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378672","url":null,"abstract":"Distributed geospatial web services have been widely utilized in scientific researches, public web applications and emergency responses. However, due to the high cost and limitation of reality for these potential applications, it is necessary to diagnose the execution of the distributed geospatial web services before applying them in real-world. In this article, we introduce an extensible framework that provides the users with the capacity to simulate the execution of distributed geospatial web services. Specifically, it can simulate the task arrival, computing resource usage, execution status, as well as execution results of geospatial web services. It also provides the statistics and evaluation function of the results of execution. The proposed simulation framework can be divided into three modules, i.e., a web Graphic User Interface (GUI), a simulator, and a database. The GUI is in charge of the interaction functions for specifying simulation parameters and visualizing the execution status dynamically. The simulator module provides a flexible mechanism to integrate a variety of simulation features by using a simulator coordinator. The database is for storing the real-time status and historical simulation data. The experiment demonstrates that the proposed framework can 1) facilitate the evaluation of the performance and reliability of the web service in advance, 2) help users find the critical path and the bottleneck of the processing workflow, and 3) provide useful information for further improvement in the performance and for dealing with the unexpected events.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"47 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115707239","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378649
F. Zhou, Huihua Lv, Youpeng Xu
Urbanization is one of the most intensive processes of human activities which have changed the earth's surface, and is also one of the important factors influencing the hydrologic process. Base on the high resolution image and topographic map, this paper conducts a case study on the flood response to river system change under urbanization in a typical plain river network region of Fenghuajiang River basin. The result showed that the proportion of urban area was increased from 13.2% to 34.1% during the past 20 years, which was mainly gained from cropland and water bodies; the increase of impervious surface tended to produce more surface runoff, and also decrease the drainage density and water surface rates. The submerge simulation showed that the decreasing in storage capacity would cause higher stage and cause more serious risk especially for suburban region with lower elevation in all designed storm scenarios, and the response was most pronounced for a recurrence intervals equaling to 20 years. The research has rich theoretical research on stream structure in plain area, and provides decision-making and reference for flood management in the study area.
{"title":"Impact of urbanization on stream structure and flood hazard in the plain river network region","authors":"F. Zhou, Huihua Lv, Youpeng Xu","doi":"10.1109/GEOINFORMATICS.2015.7378649","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378649","url":null,"abstract":"Urbanization is one of the most intensive processes of human activities which have changed the earth's surface, and is also one of the important factors influencing the hydrologic process. Base on the high resolution image and topographic map, this paper conducts a case study on the flood response to river system change under urbanization in a typical plain river network region of Fenghuajiang River basin. The result showed that the proportion of urban area was increased from 13.2% to 34.1% during the past 20 years, which was mainly gained from cropland and water bodies; the increase of impervious surface tended to produce more surface runoff, and also decrease the drainage density and water surface rates. The submerge simulation showed that the decreasing in storage capacity would cause higher stage and cause more serious risk especially for suburban region with lower elevation in all designed storm scenarios, and the response was most pronounced for a recurrence intervals equaling to 20 years. The research has rich theoretical research on stream structure in plain area, and provides decision-making and reference for flood management in the study area.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117106467","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378573
Zaigui Yang, Min Lu, Qing Deng, Jian Jia, Huang Huang
With the development of high-resolution remote sensing satellites, the techniques based on high-resolution remote images are widely applied in the extraction of field information. However, these techniques collect information mainly through information of spectrum, texture, and surface features. This paper put forward a field information extraction method based on profiles. Supported by high-precision DEM data, this method starts with discrete elevations and conducts analysis on profiles in many directions. It finds out the farmland in a testing area by firstly marking the straight line on a profile as farmland and others as non-farmland and then taking the classifications of fields into overall consideration. It has been proven in the test that, with the increase of precision of DEM data, the method is both feasible and promising.
{"title":"The information extraction and potential analysis of field based on high-precision DEMs","authors":"Zaigui Yang, Min Lu, Qing Deng, Jian Jia, Huang Huang","doi":"10.1109/GEOINFORMATICS.2015.7378573","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378573","url":null,"abstract":"With the development of high-resolution remote sensing satellites, the techniques based on high-resolution remote images are widely applied in the extraction of field information. However, these techniques collect information mainly through information of spectrum, texture, and surface features. This paper put forward a field information extraction method based on profiles. Supported by high-precision DEM data, this method starts with discrete elevations and conducts analysis on profiles in many directions. It finds out the farmland in a testing area by firstly marking the straight line on a profile as farmland and others as non-farmland and then taking the classifications of fields into overall consideration. It has been proven in the test that, with the increase of precision of DEM data, the method is both feasible and promising.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117309777","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378557
Feng Dongning, Wu Mengfan, Yin Hui, Wang Yunpeng, Dai Xuejun
Based on Excel and ArcGIS10.0 software package, this paper uses spatial overlay statistics and correlation analysis to study the risk of collapses, landslides, and debris flow hazards in every county of Guangdong, including their danger and vulnerability. The results are shown as follows; Firstly, terrain and precipitation are major factors in risk assessment of geological hazard in Guangdong. Within this, the maximum relative elevation is the restricting factor in danger degree of hazards. The major factor is from terrain to precipitation, when the maximum relative elevation is near 1200m. Secondly, high strong and short duration precipitation exerts more effect on the danger of hazards than average annual precipitation of long period and zonal. Thirdly, By analyzing the socio-economic data of every county, the study assess the vulnerability and risk degree of every county and proofs the major factor on the evaluation of hazards risk is the intensity of human activities.
{"title":"The county-level assessment on risk of collapses, landslides, and debris flows in Guangdong using GIS and remote sensing","authors":"Feng Dongning, Wu Mengfan, Yin Hui, Wang Yunpeng, Dai Xuejun","doi":"10.1109/GEOINFORMATICS.2015.7378557","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378557","url":null,"abstract":"Based on Excel and ArcGIS10.0 software package, this paper uses spatial overlay statistics and correlation analysis to study the risk of collapses, landslides, and debris flow hazards in every county of Guangdong, including their danger and vulnerability. The results are shown as follows; Firstly, terrain and precipitation are major factors in risk assessment of geological hazard in Guangdong. Within this, the maximum relative elevation is the restricting factor in danger degree of hazards. The major factor is from terrain to precipitation, when the maximum relative elevation is near 1200m. Secondly, high strong and short duration precipitation exerts more effect on the danger of hazards than average annual precipitation of long period and zonal. Thirdly, By analyzing the socio-economic data of every county, the study assess the vulnerability and risk degree of every county and proofs the major factor on the evaluation of hazards risk is the intensity of human activities.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115446655","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378684
Caodong Xie, Zhiehao Zhang, J. Shan
The popularity of smart mobile devices with camera enabled results in a growing number of photos on the Internet. Those with semantic and geographic data can be used to enrich the data source of geographic information system, whereas, the widespread sources of these photos make them difficult to retrieve and utilize. We use a third-party image search APIs to retrieve the images dynamically and use both keywords and geographic coordinates as queries to implement the mashup service of searching multi-source POIs and web images. We also designed an efficient schema of storing and managing images uploaded from mobile deuce with rich metadata. We developed a prototype framework of searching and managing crowdsourcing images and verified its feasibility.
{"title":"Technical evaluation for mashing up crowdsourcing images","authors":"Caodong Xie, Zhiehao Zhang, J. Shan","doi":"10.1109/GEOINFORMATICS.2015.7378684","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378684","url":null,"abstract":"The popularity of smart mobile devices with camera enabled results in a growing number of photos on the Internet. Those with semantic and geographic data can be used to enrich the data source of geographic information system, whereas, the widespread sources of these photos make them difficult to retrieve and utilize. We use a third-party image search APIs to retrieve the images dynamically and use both keywords and geographic coordinates as queries to implement the mashup service of searching multi-source POIs and web images. We also designed an efficient schema of storing and managing images uploaded from mobile deuce with rich metadata. We developed a prototype framework of searching and managing crowdsourcing images and verified its feasibility.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122551198","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378622
L. Wang, Jinping Li, Yaohui Liu, T. Gan
Building damage information is an important basis of earthquake disaster loss assessment, it is also one of judgement index of earthquake intensity. In the process of using remote sensing image for earthquake disaster information acquisition and earthquake emergency rescue, building damage information extraction technique is the key to get accurate disaster information. In this paper, based on the object-oriented and pixel-based method, we extract building earthquake damage information and accuracy evaluation of results. The results show that the object-oriented classification method to extract the feature of results in shape was consistent with the actual situation, and classification accuracy is higher and the effect is better.
{"title":"Object-oriented method of building damage extraction from high-resolution images","authors":"L. Wang, Jinping Li, Yaohui Liu, T. Gan","doi":"10.1109/GEOINFORMATICS.2015.7378622","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378622","url":null,"abstract":"Building damage information is an important basis of earthquake disaster loss assessment, it is also one of judgement index of earthquake intensity. In the process of using remote sensing image for earthquake disaster information acquisition and earthquake emergency rescue, building damage information extraction technique is the key to get accurate disaster information. In this paper, based on the object-oriented and pixel-based method, we extract building earthquake damage information and accuracy evaluation of results. The results show that the object-oriented classification method to extract the feature of results in shape was consistent with the actual situation, and classification accuracy is higher and the effect is better.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123895098","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378614
Kun Zhang, Songlin Zhang
Getis-Ord general G provides researchers with a straightforward way to assess the degree of spatial association in an entire sample. It measures how concentrated the high or low values are for a given study area. In order to check the ability at detecting global spatial autocorrelation pattern, several clustering arrangements were designed and G values were calculated. The results of the standardized G value and p-value indicate that G index is sensitive to the size of the clustering region as well as the location, a larger size and a near-center location is preferred. The selection of threshold distance will also affect the testing results, sometimes contradictive patterns are reported at different threshold distances in a same study area.
Getis-Ord general G为研究人员提供了一种直接的方法来评估整个样本的空间关联程度。它测量给定研究区域的高值或低值的集中程度。为了检验该方法对全局空间自相关模式的检测能力,设计了几种聚类方式,并计算了G值。标准化G值和p值的结果表明,G指数对聚类区域的大小和位置都很敏感,更大的大小和近中心的位置是首选。阈值距离的选择也会影响测试结果,有时在同一研究区域的不同阈值距离下会出现相互矛盾的模式。
{"title":"Testing simulated positive spatial autocorrelation by Getis-Ord general G","authors":"Kun Zhang, Songlin Zhang","doi":"10.1109/GEOINFORMATICS.2015.7378614","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378614","url":null,"abstract":"Getis-Ord general G provides researchers with a straightforward way to assess the degree of spatial association in an entire sample. It measures how concentrated the high or low values are for a given study area. In order to check the ability at detecting global spatial autocorrelation pattern, several clustering arrangements were designed and G values were calculated. The results of the standardized G value and p-value indicate that G index is sensitive to the size of the clustering region as well as the location, a larger size and a near-center location is preferred. The selection of threshold distance will also affect the testing results, sometimes contradictive patterns are reported at different threshold distances in a same study area.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125165000","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378611
Qin Zhang, Kun Zhang
The great circle route and rhumb line are two important spherical curves. The characteristic of the former curve could be best understood on a sphere, while the characteristic of the latter is fully expressed on a projected map, which is Mercator's projection. This paper utilized electronic map APIs and web3D techniques to provide an interactive webpage to display 2D and 3D views. A projected Mercator world map is displayed in 2D view, and a virtual globe is displayed in 3D view. The great circle route and rhumb line are visually compared in multi-dimensional environment. The technique demonstrated in this paper provides a convenient way to understand the great circle route and rhumb line, and is especially useful in education.
{"title":"2D and 3D webpage visualization of the great circle and rhumb line","authors":"Qin Zhang, Kun Zhang","doi":"10.1109/GEOINFORMATICS.2015.7378611","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378611","url":null,"abstract":"The great circle route and rhumb line are two important spherical curves. The characteristic of the former curve could be best understood on a sphere, while the characteristic of the latter is fully expressed on a projected map, which is Mercator's projection. This paper utilized electronic map APIs and web3D techniques to provide an interactive webpage to display 2D and 3D views. A projected Mercator world map is displayed in 2D view, and a virtual globe is displayed in 3D view. The great circle route and rhumb line are visually compared in multi-dimensional environment. The technique demonstrated in this paper provides a convenient way to understand the great circle route and rhumb line, and is especially useful in education.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130145897","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}