Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378565
Meng Zhou, Wei Tu, Qingquan Li, Y. Yue, Xiaomeng Chang
Physical location is an important characteristic for digital individuals, as it is widely used in location based services, such as navigation, advertisements, and recommendations. This paper focuses on the problem of inferring individual physical locations from their friendships in a social network. We represent individual locations with a few high frequency places to eliminate the noise influence. By using of interactions between users, a spatial based inferring model is developed to directly estimate individual physical locations. The spatial weighted clustering method is used by considering the structure of interactions between friends. Data from Tencent, the biggest social network service provider in China, is used to conduct an experiment to validate the performance of the proposed inferring framework. Results indicate the framework can predict individual locations within 15 km in distance error with the accuracy of 68%.
{"title":"Inferring individual physical locations with social friendships","authors":"Meng Zhou, Wei Tu, Qingquan Li, Y. Yue, Xiaomeng Chang","doi":"10.1109/GEOINFORMATICS.2015.7378565","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378565","url":null,"abstract":"Physical location is an important characteristic for digital individuals, as it is widely used in location based services, such as navigation, advertisements, and recommendations. This paper focuses on the problem of inferring individual physical locations from their friendships in a social network. We represent individual locations with a few high frequency places to eliminate the noise influence. By using of interactions between users, a spatial based inferring model is developed to directly estimate individual physical locations. The spatial weighted clustering method is used by considering the structure of interactions between friends. Data from Tencent, the biggest social network service provider in China, is used to conduct an experiment to validate the performance of the proposed inferring framework. Results indicate the framework can predict individual locations within 15 km in distance error with the accuracy of 68%.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"57 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":"125983815","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378561
Shanzhen Yi, Yangfan Xiao
Floods belong to the most threatening natural hazards for human society and economics, and are enhanced by urbanization and climate change. Integrated assessment is defined as an interdisciplinary and participatory process of combining, integration, interpreting, and communicating knowledge from diverse scientific disciplines to allow a better understanding of complex phenomena. Ontology, as a formal knowledge representation, will provide methods for the interdisciplinary integrated flood assessment. This paper will develop integrated watershed flood risk assessment ontology from different perceptual models of watershed flood risk. First, different conceptual models, such as Pressure-State-Impact-Response model, are introduced. Then the development framework of ontology is given. The flood risk assessment ontology is designed based on the upper level ontology of Semantic Web for Earth and Environmental Terminology (SWEET). Finally the rainfall excess indicator computing ontology and vulnerability index computing ontology were given as the examples of application development.
{"title":"The development of integrated watershed flood risk assessment ontology","authors":"Shanzhen Yi, Yangfan Xiao","doi":"10.1109/GEOINFORMATICS.2015.7378561","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378561","url":null,"abstract":"Floods belong to the most threatening natural hazards for human society and economics, and are enhanced by urbanization and climate change. Integrated assessment is defined as an interdisciplinary and participatory process of combining, integration, interpreting, and communicating knowledge from diverse scientific disciplines to allow a better understanding of complex phenomena. Ontology, as a formal knowledge representation, will provide methods for the interdisciplinary integrated flood assessment. This paper will develop integrated watershed flood risk assessment ontology from different perceptual models of watershed flood risk. First, different conceptual models, such as Pressure-State-Impact-Response model, are introduced. Then the development framework of ontology is given. The flood risk assessment ontology is designed based on the upper level ontology of Semantic Web for Earth and Environmental Terminology (SWEET). Finally the rainfall excess indicator computing ontology and vulnerability index computing ontology were given as the examples of application development.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"46 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":"123072772","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.2015.7378612
Mingzhu Wu, Kun Zhang
The establishment of the natural reserve is an important implementation to protect natural resources. This paper studies the site selection of the Mount Tianmu Nature Reserve. The original reserve area is fairly small and a demand to expand the reserve has aroused in recent years. However, there are extensive human activities around Mount Tianmu reserve. In our study, a 10-km buffer area around the reserve is divided into 295 small watersheds, and we seek to choose the watersheds that are suitable to be included in the reserve under a principle that the human activities should be as few as possible. Landscape pattern indices, like Patch Density (PD) and Percentage of Landscape (PLAND), are adopted to evaluate each watershed. Watersheds are grouped into four categories according to the evaluating. The result is helpful for decision makers to design a better reserve which is expected to minimize the influence of human beings.
建立自然保护区是保护自然资源的重要举措。本文对天目山自然保护区的选址进行了研究。原保护区面积较小，近年来出现了扩大保护区的需求。然而，在天目山保护区周围有广泛的人类活动。本研究将保护区周边10公里的缓冲区划分为295个小流域，并在人类活动尽可能少的原则下选择适合纳入保护区的流域。采用斑块密度(Patch Density, PD)和景观百分率(Percentage of Landscape, PLAND)等景观格局指数对各流域进行评价。根据评价结果，将流域分为四类。该结果有助于决策者设计更好的储备，以最大限度地减少人为影响。
{"title":"Site selection in Mount Tianmu Nature Reserve based on the landscape pattern analysis of small watersheds","authors":"Mingzhu Wu, Kun Zhang","doi":"10.1109/GEOINFORMATICS.2015.7378612","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378612","url":null,"abstract":"The establishment of the natural reserve is an important implementation to protect natural resources. This paper studies the site selection of the Mount Tianmu Nature Reserve. The original reserve area is fairly small and a demand to expand the reserve has aroused in recent years. However, there are extensive human activities around Mount Tianmu reserve. In our study, a 10-km buffer area around the reserve is divided into 295 small watersheds, and we seek to choose the watersheds that are suitable to be included in the reserve under a principle that the human activities should be as few as possible. Landscape pattern indices, like Patch Density (PD) and Percentage of Landscape (PLAND), are adopted to evaluate each watershed. Watersheds are grouped into four categories according to the evaluating. The result is helpful for decision makers to design a better reserve which is expected to minimize the influence of human beings.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"21 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":"127704573","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.2015.7378638
Jian Xu, Yeqiao Wang, Dan Gao
Dissolved organic carbon (DOC) is the largest organic carbon component in water ecosystems and plays an important role in carbon cycle process. The concentrations of DOC and other water environmental factors were investigated during the wet season (August 2014) in northern Poyang Lake. In this paper, the primary objective was to illustrate the spatial distribution of DOC in northern Poyang Lake. Additionally, the relationships between DOC and water environmental factors such as chromophoric dissolved organic matter (CDOM), chlorophyll a (Chl a), total suspended matter (TSM), and turbidity were analyzed. The results showed that concentrations of DOC in northern Poyang Lake were relatively low during the wet season, with an averaged value of 1.927 mg/L ranged between 1.607 and 2.821 mg/L. Spatially, the concentrations of DOC were higher in the north and lower in the south with variation of water levels. Correlation analysis showed that DOC was positively correlated with CDOM, TSM and turbidity, but not related with Chl a. Combined with field investigation, the results indicated that DOC in northern Poyang Lake was more likely come from terrestrial sources, and it had a certain relationship with frequently sand-excavating in the northern water area connected with the Yangtze River.
{"title":"Spatial distribution of dissolved organic carbon during the wet season in northern Poyang Lake and related affecting factors","authors":"Jian Xu, Yeqiao Wang, Dan Gao","doi":"10.1109/GEOINFORMATICS.2015.7378638","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378638","url":null,"abstract":"Dissolved organic carbon (DOC) is the largest organic carbon component in water ecosystems and plays an important role in carbon cycle process. The concentrations of DOC and other water environmental factors were investigated during the wet season (August 2014) in northern Poyang Lake. In this paper, the primary objective was to illustrate the spatial distribution of DOC in northern Poyang Lake. Additionally, the relationships between DOC and water environmental factors such as chromophoric dissolved organic matter (CDOM), chlorophyll a (Chl a), total suspended matter (TSM), and turbidity were analyzed. The results showed that concentrations of DOC in northern Poyang Lake were relatively low during the wet season, with an averaged value of 1.927 mg/L ranged between 1.607 and 2.821 mg/L. Spatially, the concentrations of DOC were higher in the north and lower in the south with variation of water levels. Correlation analysis showed that DOC was positively correlated with CDOM, TSM and turbidity, but not related with Chl a. Combined with field investigation, the results indicated that DOC in northern Poyang Lake was more likely come from terrestrial sources, and it had a certain relationship with frequently sand-excavating in the northern water area connected with the Yangtze River.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"618 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":"116401276","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.2015.7378702
Yifan Li, Juanle Wang, M. Gao
Tick-borne Encephalitis (TBE) is a vital natural focus disease. It mainly exists in the middle-high latitudes of Eurasian continent. TBE has been recognized as a severe public health problem in northeastern China. The spatial heterogeneity and variation of TBE incidence are influenced greatly by the geographical and ecological living conditions of its main vectors and hosts. This paper used GeoDetector with a 10 km grid sets to assess the impact of varieties of geographical factors for the distribution of TBE incidence in Hulunbuir, China. The TBE incidence is based on the average value of yearly incidence from 2006 to 2013. The geographical factors involve land cover, soil type, topography, climatic and vegetation conditions, etc. The results indicate that soil type and land cover are the dominant factors to the general distribution of TBE incidence. Yearly change precipitation is also the key factor for the local distribution of TBE risk. What's more, the TBE incidence is greatly influenced by the interaction of these factors. This study is conducive to recognize the relationship between the geographic factors and the distribution of TBE in the northeastern China. It can be a good reference for the further prediction of the potential high-risk areas based on the changes of physical geographic environment. Besides, the findings are expected to raise the awareness of TBE precaution for local people.
{"title":"Geographical detection of Tick-borne Encephalitis risks in Hulunbuir, China","authors":"Yifan Li, Juanle Wang, M. Gao","doi":"10.1109/GEOINFORMATICS.2015.7378702","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378702","url":null,"abstract":"Tick-borne Encephalitis (TBE) is a vital natural focus disease. It mainly exists in the middle-high latitudes of Eurasian continent. TBE has been recognized as a severe public health problem in northeastern China. The spatial heterogeneity and variation of TBE incidence are influenced greatly by the geographical and ecological living conditions of its main vectors and hosts. This paper used GeoDetector with a 10 km grid sets to assess the impact of varieties of geographical factors for the distribution of TBE incidence in Hulunbuir, China. The TBE incidence is based on the average value of yearly incidence from 2006 to 2013. The geographical factors involve land cover, soil type, topography, climatic and vegetation conditions, etc. The results indicate that soil type and land cover are the dominant factors to the general distribution of TBE incidence. Yearly change precipitation is also the key factor for the local distribution of TBE risk. What's more, the TBE incidence is greatly influenced by the interaction of these factors. This study is conducive to recognize the relationship between the geographic factors and the distribution of TBE in the northeastern China. It can be a good reference for the further prediction of the potential high-risk areas based on the changes of physical geographic environment. Besides, the findings are expected to raise the awareness of TBE precaution for local people.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"36 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":"116673819","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.2015.7378571
Huang Huang, S. Khalid, Jianhua Ni, Dingtao Shen, Jinyin Wang
The paper, mainly based on spatial data of monomer Internet bar in China's mainland, found support from technologies of GIS's strong spatial data analysis and probed into the spatial distribution rules of Internet bars in China's mainland, particularly in major cities and provinces in the East, Middle and West or those in national, provincial and city scale. The paper was focused on studies of two aspects: 1. To describe the overall characteristics of Internet bars distributed in mainland, typically in model cities and provinces; 2. To make quantitative analysis on spatial distribution model and on concentration features of Internet bars all over the country by using two spatial modeling analysis methods: method of the nearest neighbor index and Repley's K function.
{"title":"Analysis on spatial distribution model of monomer Internet bars in China's mainland","authors":"Huang Huang, S. Khalid, Jianhua Ni, Dingtao Shen, Jinyin Wang","doi":"10.1109/GEOINFORMATICS.2015.7378571","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378571","url":null,"abstract":"The paper, mainly based on spatial data of monomer Internet bar in China's mainland, found support from technologies of GIS's strong spatial data analysis and probed into the spatial distribution rules of Internet bars in China's mainland, particularly in major cities and provinces in the East, Middle and West or those in national, provincial and city scale. The paper was focused on studies of two aspects: 1. To describe the overall characteristics of Internet bars distributed in mainland, typically in model cities and provinces; 2. To make quantitative analysis on spatial distribution model and on concentration features of Internet bars all over the country by using two spatial modeling analysis methods: method of the nearest neighbor index and Repley's K function.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"100 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":"114577969","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.2015.7378682
Xiaoxuan Wang, Qiaoling Zheng, Shengmao Zhang
As a critical reference for the management of fisheries production, fishing benefits calculation, and fishery resources survey, the statistics of vessel voyage can be readily available with the assistant of vessel monitoring system using Beidou satellite navigation. In this paper, a novel methodology has been presented to obtain the vessel voyage automatically using Beidou. The proposed approach firstly creates polygon object from land and islands that the departure and return ports located using GIS buffering method. After that, the distance between the vessel and the edge of the created buffer is regarded as the distance to coastline, the variation of which is utilized to determine the vessel voyage. We then extract the voyages automatically by analyzing the pattern of distance variation in various circumstances. The voyage information of six fishing vessel are extracted using the proposed method, and the result is then compared with the actual records of 43 voyage. The result of experiments is very promising, approximate 95.1% of the departure time are within 2 days, and about 95.2% of the return time are within 2 days, which has validated that the proposed method can provide accurate reference information for fishery analysis.
{"title":"Research of voyage extraction based on beidou vessel monitoring system data","authors":"Xiaoxuan Wang, Qiaoling Zheng, Shengmao Zhang","doi":"10.1109/GEOINFORMATICS.2015.7378682","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378682","url":null,"abstract":"As a critical reference for the management of fisheries production, fishing benefits calculation, and fishery resources survey, the statistics of vessel voyage can be readily available with the assistant of vessel monitoring system using Beidou satellite navigation. In this paper, a novel methodology has been presented to obtain the vessel voyage automatically using Beidou. The proposed approach firstly creates polygon object from land and islands that the departure and return ports located using GIS buffering method. After that, the distance between the vessel and the edge of the created buffer is regarded as the distance to coastline, the variation of which is utilized to determine the vessel voyage. We then extract the voyages automatically by analyzing the pattern of distance variation in various circumstances. The voyage information of six fishing vessel are extracted using the proposed method, and the result is then compared with the actual records of 43 voyage. The result of experiments is very promising, approximate 95.1% of the departure time are within 2 days, and about 95.2% of the return time are within 2 days, which has validated that the proposed method can provide accurate reference information for fishery analysis.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"80 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":"125060813","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.2015.7378551
Wei Zhang, Yong Zhou, Wen-xiu Tian, Binbin Hu
A prototype software is designed to simulate indoor pedestrian evacuation dynamic in case of emergency based on an agent model, which is then combined with the particle swarm optimization and the floor field model. In the agent-based model, the particle swarm optimization is used to simulate individual movement; meanwhile, the floor field model is used for crowd movement simulation. According the evacuation mechanism, the software contains three primary modules: the fire spread simulation module, the pedestrian evacuation movement (individual movement and crowd movement) simulation module, and the 3D visualization module. The software provides a platform for the research on emergency management and public security.
{"title":"GIS-based indoor pedestrian evacuation simulation combining the particle swarm optimization and the floor field model","authors":"Wei Zhang, Yong Zhou, Wen-xiu Tian, Binbin Hu","doi":"10.1109/GEOINFORMATICS.2015.7378551","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378551","url":null,"abstract":"A prototype software is designed to simulate indoor pedestrian evacuation dynamic in case of emergency based on an agent model, which is then combined with the particle swarm optimization and the floor field model. In the agent-based model, the particle swarm optimization is used to simulate individual movement; meanwhile, the floor field model is used for crowd movement simulation. According the evacuation mechanism, the software contains three primary modules: the fire spread simulation module, the pedestrian evacuation movement (individual movement and crowd movement) simulation module, and the 3D visualization module. The software provides a platform for the research on emergency management and public security.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"52 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":"123705960","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.2015.7378581
Yuanyuan Feng, Yingxia Pu
In this paper, according to the traditional shift - share model, spatial shift - share model, dynamic shift - share model, and the dynamic shift - share spatial expansion model, the employment situation in Jiangsu Province from 2000 to 2010 in the first, second, and third industries are analyzed. The results show that the employment structure of the Jiangsu Province belongs to those promoted by the advantage of industrial structure, the industrial structure is gradually optimized, structural adjustment of initial success, but there are still parts of irrational industrial structure, underutilized positive effects, and other issues. The irrationality of the first industrial structure is more prominent, the second industry is competitive (it has good momentum of development and reasonable structure), and the third industry needs further industrial restructuring, making full use of the positive impact brought by the surrounding to enhance their competitiveness.
{"title":"Analysis about changes of employment structure in Jiangsu Province based on shift-share analysis","authors":"Yuanyuan Feng, Yingxia Pu","doi":"10.1109/GEOINFORMATICS.2015.7378581","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378581","url":null,"abstract":"In this paper, according to the traditional shift - share model, spatial shift - share model, dynamic shift - share model, and the dynamic shift - share spatial expansion model, the employment situation in Jiangsu Province from 2000 to 2010 in the first, second, and third industries are analyzed. The results show that the employment structure of the Jiangsu Province belongs to those promoted by the advantage of industrial structure, the industrial structure is gradually optimized, structural adjustment of initial success, but there are still parts of irrational industrial structure, underutilized positive effects, and other issues. The irrationality of the first industrial structure is more prominent, the second industry is competitive (it has good momentum of development and reasonable structure), and the third industry needs further industrial restructuring, making full use of the positive impact brought by the surrounding to enhance their competitiveness.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"25 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":"131782447","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}
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