Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557185
Zeng Rui, Hongli Yin, Jinyan Cai
For the purpose of prediction analysis of customer relationships in social networks, this paper proposes a simple model that can generate future states of a social network based on relevant data analysis and previous research. In this model, we insert nodes and edges of a customer network at the same preferential attachment probabilities, but delete them at different anti-preferential attachment probabilities with the consideration of the limit of network size, the directions of incident links and the factor of time in attractiveness. Furthermore, we propose an improved model based on the simple model that computes the attractiveness measure of nodes by applying time series prediction and takes into account of node in-degrees. Networks generated from our models have a nice property that their in-degree distribution follows the power-law, which desirably characterizes an essential property of social networks. This property is derived by applying the mean-field theory [7]. It is validated through simulation that this model can effectively generate a social network's future state and incorporating the factor of node in-degrees in computing the attractiveness measure of nodes using time series prediction can improve the prediction result.
{"title":"An Improved Model for Effective Customer Network Future State Prediction","authors":"Zeng Rui, Hongli Yin, Jinyan Cai","doi":"10.1109/GEOINFORMATICS.2018.8557185","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557185","url":null,"abstract":"For the purpose of prediction analysis of customer relationships in social networks, this paper proposes a simple model that can generate future states of a social network based on relevant data analysis and previous research. In this model, we insert nodes and edges of a customer network at the same preferential attachment probabilities, but delete them at different anti-preferential attachment probabilities with the consideration of the limit of network size, the directions of incident links and the factor of time in attractiveness. Furthermore, we propose an improved model based on the simple model that computes the attractiveness measure of nodes by applying time series prediction and takes into account of node in-degrees. Networks generated from our models have a nice property that their in-degree distribution follows the power-law, which desirably characterizes an essential property of social networks. This property is derived by applying the mean-field theory [7]. It is validated through simulation that this model can effectively generate a social network's future state and incorporating the factor of node in-degrees in computing the attractiveness measure of nodes using time series prediction can improve the prediction result.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122560637","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557171
Mengdi Wang, Kun Zhang
Simulated annealing (SA) algorithm is based on iterative improvement but with stochastic acceptance of bad moves. This allows the algorithm to escape local optimal solution in early sampling rounds and the progressive refinement into efficient solutions in later sampling rounds. In this paper, we show how this algorithm is used to find the highest peak of a Digital Elevation Model (DEM). In order to search efficiently in the terrain data, we proposed a reformed cost function which used logarithmic transformation. A set of parameters were confirmed after many experiments. The result shows that SA is not guarantee to find the optimal solution. However, there are 16% chances to find the highest peak during 400 experiments. Specifically, the search process is demonstrated by 3D visualization in GIS, which can help understand the mechanism of the algorithm and provide convenience for teaching.
{"title":"A Practice to Search the Summit of a DEM Using Simulated Annealing Technique","authors":"Mengdi Wang, Kun Zhang","doi":"10.1109/GEOINFORMATICS.2018.8557171","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557171","url":null,"abstract":"Simulated annealing (SA) algorithm is based on iterative improvement but with stochastic acceptance of bad moves. This allows the algorithm to escape local optimal solution in early sampling rounds and the progressive refinement into efficient solutions in later sampling rounds. In this paper, we show how this algorithm is used to find the highest peak of a Digital Elevation Model (DEM). In order to search efficiently in the terrain data, we proposed a reformed cost function which used logarithmic transformation. A set of parameters were confirmed after many experiments. The result shows that SA is not guarantee to find the optimal solution. However, there are 16% chances to find the highest peak during 400 experiments. Specifically, the search process is demonstrated by 3D visualization in GIS, which can help understand the mechanism of the algorithm and provide convenience for teaching.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117103546","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557078
Qiqi Zhang, Tao Yuan
The urban network is an extension and improvement of the study of the traditional urban and regional spatial structure. It is one of the hot topics in the study of urban geography. Based on the Tencent LBSN data to build a city network, this paper uses the centrality and influence indicators to rank the importance and influence of the nodes of the Chinese urban network according to the complex network theory, and then integrates the methods of community detection and other methods to analyze the characteristics of the urban network in China during the transition period. The research shows that: $bigcirc!!!!1$. The eigenvector centrality and PageRank take into account the number and quality of neighbor nodes at the same time. It can identify the important city nodes more effectively, and the identified urban network accords with Pareto law. $bigcirc!!!!!2$. The four major urban agglomerations of the Beijing-Tianjin-Hebei region, the Yangtze River Delta, the Pearl River Delta and Chengdu-Chongqing have a clear network structure. The national urbanization development strategy and important transportation facilities have a directional effect on the urban network. $bigcirc!!!!!3$. The urban network structure conforms to the “Hu Huanyong Line” law. However, the networks of the Guanzhong city group, the Lanzhou-Xining city group, the Hubao Egu city group, and the urban slopes of the northern slope of the Tianshan Mountains centered on U rumqi began to appear. Important infrastructure construction such as the “Lanxin Line” and the “Belt and Road” strategy have become potential forces for guiding the urban system to break through the “Hu Huanyong Line”. 4Central cities in Central China, Fujian Province, and Northeast China have a low level of network development and do not match the regional functions undertaken. Central cities in Central China, Fujian Province, and Northeast China have a low level of network development and do not match the regional functions undertaken. $bigcirc!!!!!5$. The phenomenon of excessive monopoly in the Pearl River Delta urban agglomeration should be given attention, and the links between key node cities and surrounding cities should be strengthened to ease the pressure on the core cities. Overall, LBSN data can effectively reveal the characteristics of China's urban network structure during the transition period, and improve effective case support for regional coordinated development, transportation system planning and construction.
{"title":"Analysis of China's Urban Network Structure from the Perspective of “Streaming”","authors":"Qiqi Zhang, Tao Yuan","doi":"10.1109/GEOINFORMATICS.2018.8557078","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557078","url":null,"abstract":"The urban network is an extension and improvement of the study of the traditional urban and regional spatial structure. It is one of the hot topics in the study of urban geography. Based on the Tencent LBSN data to build a city network, this paper uses the centrality and influence indicators to rank the importance and influence of the nodes of the Chinese urban network according to the complex network theory, and then integrates the methods of community detection and other methods to analyze the characteristics of the urban network in China during the transition period. The research shows that: $bigcirc!!!!1$. The eigenvector centrality and PageRank take into account the number and quality of neighbor nodes at the same time. It can identify the important city nodes more effectively, and the identified urban network accords with Pareto law. $bigcirc!!!!!2$. The four major urban agglomerations of the Beijing-Tianjin-Hebei region, the Yangtze River Delta, the Pearl River Delta and Chengdu-Chongqing have a clear network structure. The national urbanization development strategy and important transportation facilities have a directional effect on the urban network. $bigcirc!!!!!3$. The urban network structure conforms to the “Hu Huanyong Line” law. However, the networks of the Guanzhong city group, the Lanzhou-Xining city group, the Hubao Egu city group, and the urban slopes of the northern slope of the Tianshan Mountains centered on U rumqi began to appear. Important infrastructure construction such as the “Lanxin Line” and the “Belt and Road” strategy have become potential forces for guiding the urban system to break through the “Hu Huanyong Line”. 4Central cities in Central China, Fujian Province, and Northeast China have a low level of network development and do not match the regional functions undertaken. Central cities in Central China, Fujian Province, and Northeast China have a low level of network development and do not match the regional functions undertaken. $bigcirc!!!!!5$. The phenomenon of excessive monopoly in the Pearl River Delta urban agglomeration should be given attention, and the links between key node cities and surrounding cities should be strengthened to ease the pressure on the core cities. Overall, LBSN data can effectively reveal the characteristics of China's urban network structure during the transition period, and improve effective case support for regional coordinated development, transportation system planning and construction.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125612822","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557117
Hongtai Yao, Min Zhang, Bingxue Wang
This paper presents a new multi-resolution Markov Random Field (MRF) method for semantic segmentation of remote sensing images. The main contribution of this paper is to propose a new method of information interaction between the scales so that macroscopic information and microscopic information can be captured on each scale. First, we established a multi-scale structure. Second, in the modeling process of label field in each scale, we not only consider the spatial information between the pixels of the layer. But also take the spatial interaction between this layer and its upper and lower layers into account. Finally, using the most classic the maximum a posterior (MAP) criteria, start from the top level and solve it layer by layer. Experiments were performed on texture image, synthetic geographic image and remote sensing image. These experiments show that the proposed method provides a better performance than other Markov-based methods. (The accuracy increases by about 2%).
{"title":"A Top-Down Application of Multi-Resolution Markov Random Fields with Bilateral Information in Semantic Segmentation of Remote Sensing Images","authors":"Hongtai Yao, Min Zhang, Bingxue Wang","doi":"10.1109/GEOINFORMATICS.2018.8557117","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557117","url":null,"abstract":"This paper presents a new multi-resolution Markov Random Field (MRF) method for semantic segmentation of remote sensing images. The main contribution of this paper is to propose a new method of information interaction between the scales so that macroscopic information and microscopic information can be captured on each scale. First, we established a multi-scale structure. Second, in the modeling process of label field in each scale, we not only consider the spatial information between the pixels of the layer. But also take the spatial interaction between this layer and its upper and lower layers into account. Finally, using the most classic the maximum a posterior (MAP) criteria, start from the top level and solve it layer by layer. Experiments were performed on texture image, synthetic geographic image and remote sensing image. These experiments show that the proposed method provides a better performance than other Markov-based methods. (The accuracy increases by about 2%).","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114383285","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557190
Chibin Wang, Jun Luo, Shaofu Lin, Jing Zhang, Zifu Wang, Anyu Luo
With the growing demand of applicational support for various kinds of tourism applications, this study aims to apply big data on the tourism industry and build applications for tourism resources that support the distributed storage, parallel computing, application analysis, data information sharing and interaction that support the census data of tourism resources. Deeper data support for the project of constructing tourism census database is provided by the big data support platform. Advanced, efficient and scientific platform environment of storage, calculation and analysis of the resources is also provided for escorting the goal of developing the entire-region tourism and building Guizhou as a world-famous tourism destination. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software. The application of these resources has fostered impressive big data advancements.
{"title":"Cloud Platform for the Management of Tourism Resources","authors":"Chibin Wang, Jun Luo, Shaofu Lin, Jing Zhang, Zifu Wang, Anyu Luo","doi":"10.1109/GEOINFORMATICS.2018.8557190","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557190","url":null,"abstract":"With the growing demand of applicational support for various kinds of tourism applications, this study aims to apply big data on the tourism industry and build applications for tourism resources that support the distributed storage, parallel computing, application analysis, data information sharing and interaction that support the census data of tourism resources. Deeper data support for the project of constructing tourism census database is provided by the big data support platform. Advanced, efficient and scientific platform environment of storage, calculation and analysis of the resources is also provided for escorting the goal of developing the entire-region tourism and building Guizhou as a world-famous tourism destination. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software. The application of these resources has fostered impressive big data advancements.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124041687","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557077
Wei Hu, M. Su, Chengyun Yang
At present, researches of spatial assessment of medical facilities prefer to consider single factor and have problems such as lack of spatial accuracy, and lack of consideration for the multi-level medical system. This paper constructs a comprehensive assessment method which includes three dimensions: supply and demand, travel convenience and equilibrium. And it considers hospitals and the primary health service facilities. The empirical research is carried out by taking Shenzhen city as an example. The results show that the assessment method proposed is an effective tool for in-depth analysis of medical facilities problems from space, which has important reference value for the optimization of medical service facilities; The service gap of Shenzhen general hospitals and community health centers are large, and the construction of medical facilities needs to be strengthened to increase the total supply level; Shenzhen general hospitals trend to concentrate towards the city center, so planning and management guidance is needed; The space configuration of community health center is relatively balanced, but more community health center are needed in the outer circle to improve the spatial convenience and the equilibrium level.
{"title":"A Comprehensive Spatial Assessment Method of Medical Facilities Under Hierarchical Medical System: A Case Study in Shenzhen City","authors":"Wei Hu, M. Su, Chengyun Yang","doi":"10.1109/GEOINFORMATICS.2018.8557077","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557077","url":null,"abstract":"At present, researches of spatial assessment of medical facilities prefer to consider single factor and have problems such as lack of spatial accuracy, and lack of consideration for the multi-level medical system. This paper constructs a comprehensive assessment method which includes three dimensions: supply and demand, travel convenience and equilibrium. And it considers hospitals and the primary health service facilities. The empirical research is carried out by taking Shenzhen city as an example. The results show that the assessment method proposed is an effective tool for in-depth analysis of medical facilities problems from space, which has important reference value for the optimization of medical service facilities; The service gap of Shenzhen general hospitals and community health centers are large, and the construction of medical facilities needs to be strengthened to increase the total supply level; Shenzhen general hospitals trend to concentrate towards the city center, so planning and management guidance is needed; The space configuration of community health center is relatively balanced, but more community health center are needed in the outer circle to improve the spatial convenience and the equilibrium level.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124356497","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557091
Wen Zhang, Min Li, Changhui Yu, L. Meng
The urban agglomerations in the middle reaches of the Yangtze River occupy an important position in the regional development pattern of China. Grasping the spatial and temporal development pattern of urban agglomerations accurately is of great significance for the planning and development of urban agglomerations. This paper selects the DMSP/OLS nighttime stable lighting data from year 1993 to year 2011, extracts the annual urban land area of 33 cities in the city group based on the threshold value, and calculates the total annual nighttime light intensity value and the growth rate of each city. By using the center of gravity model and statistical data, the distances and angles of shifts in the centers of gravity of the three major urban agglomerations in the middle reaches of the Yangtze River are explored. Studies have shown that in the past 20 years, the urban agglomeration in the middle reaches of the Yangtze River have achieved rapid development during the year 1993 to year 2011, and the total nighttime light has increased by about 5 times. The center of gravity of urban agglomerations in the middle reaches of the Yangtze River has gradually shifted from the northwest to the southeast, and the migration distance has gradually become smaller since 2004, and the center of gravity of urban agglomerations has gradually stabilized.
{"title":"The City Gravity Migration of the Urban Agglomeration in the Middle Reach of Yangtze River Based on DMSP Nighttime Light","authors":"Wen Zhang, Min Li, Changhui Yu, L. Meng","doi":"10.1109/GEOINFORMATICS.2018.8557091","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557091","url":null,"abstract":"The urban agglomerations in the middle reaches of the Yangtze River occupy an important position in the regional development pattern of China. Grasping the spatial and temporal development pattern of urban agglomerations accurately is of great significance for the planning and development of urban agglomerations. This paper selects the DMSP/OLS nighttime stable lighting data from year 1993 to year 2011, extracts the annual urban land area of 33 cities in the city group based on the threshold value, and calculates the total annual nighttime light intensity value and the growth rate of each city. By using the center of gravity model and statistical data, the distances and angles of shifts in the centers of gravity of the three major urban agglomerations in the middle reaches of the Yangtze River are explored. Studies have shown that in the past 20 years, the urban agglomeration in the middle reaches of the Yangtze River have achieved rapid development during the year 1993 to year 2011, and the total nighttime light has increased by about 5 times. The center of gravity of urban agglomerations in the middle reaches of the Yangtze River has gradually shifted from the northwest to the southeast, and the migration distance has gradually become smaller since 2004, and the center of gravity of urban agglomerations has gradually stabilized.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122810002","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557175
Yuwei Yang, Yaping Zhang
3D reconstruction using multiple views allows for the restoration of a complete geometric model, but does not produce textural effects. Most of the existing texture mapping methods are aimed at the scanning reconstruction models, and few of them can be used to deal with the models with large amount of data and complex structure. We propose a high-realistic texture mapping algorithm based on image sequences. Firstly, the image sequence is sampled by using the spatio-temporal adaptive method. Then, the parameters of the camera and the size of each image are extracted by means of the Bundler, and the optimal texture image is selected for each triangular patch through the Markov random field. Finally, due to excessive loading of image data, it is necessary to reduce the texture data and only retain the effective parts mapped onto each triangular patch. Our method ensures that the resolution of the model after texture mapping is higher, and there is no obvious texture seam.
{"title":"A High-Realistic Texture Mapping Algorithm Based on Image Sequences","authors":"Yuwei Yang, Yaping Zhang","doi":"10.1109/GEOINFORMATICS.2018.8557175","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557175","url":null,"abstract":"3D reconstruction using multiple views allows for the restoration of a complete geometric model, but does not produce textural effects. Most of the existing texture mapping methods are aimed at the scanning reconstruction models, and few of them can be used to deal with the models with large amount of data and complex structure. We propose a high-realistic texture mapping algorithm based on image sequences. Firstly, the image sequence is sampled by using the spatio-temporal adaptive method. Then, the parameters of the camera and the size of each image are extracted by means of the Bundler, and the optimal texture image is selected for each triangular patch through the Markov random field. Finally, due to excessive loading of image data, it is necessary to reduce the texture data and only retain the effective parts mapped onto each triangular patch. Our method ensures that the resolution of the model after texture mapping is higher, and there is no obvious texture seam.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123557118","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557126
Mengyu Ma, Ye Wu, N. Guo, Luo Chen, Qi Gong, Jun Yu Li
Accessibility is an important issue in transport geography, land planning and many other related fields. Accessibility problems become computationally demanding when involving high-resolution requirements. Using conventional methods, providing high-resolution accessibility analysis for real time decision support remains a challenge. In this paper, we present a parallel method, named HiAccess, to solve the high-resolution accessibility analysis problems in real time. Pointing at accelerating accessibility analysis, we proposed an extended road network structure. Correspondingly, a fast road network construction method is proposed, in which the road network topology is determined by traversing the original road nodes only once. The parallel strategies of HiAccess are fully optimized through theoretical analysis and experimental comparisons. HiAccess demonstrates the striking performance of measuring high-resolution (using 100 $text{m}times 100text{m}$ grids) accessibility of a city (in total over 250k grids, roads with 232k segments, 40 facilities) in 1 second without preprocessing, while ArcGIS takes nearly 1 hour to achieve a less satisfactory result.
{"title":"HiAccess: A Parallel Method for Measuring High-Resolution Spatial Accessibility in Real Time","authors":"Mengyu Ma, Ye Wu, N. Guo, Luo Chen, Qi Gong, Jun Yu Li","doi":"10.1109/GEOINFORMATICS.2018.8557126","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557126","url":null,"abstract":"Accessibility is an important issue in transport geography, land planning and many other related fields. Accessibility problems become computationally demanding when involving high-resolution requirements. Using conventional methods, providing high-resolution accessibility analysis for real time decision support remains a challenge. In this paper, we present a parallel method, named HiAccess, to solve the high-resolution accessibility analysis problems in real time. Pointing at accelerating accessibility analysis, we proposed an extended road network structure. Correspondingly, a fast road network construction method is proposed, in which the road network topology is determined by traversing the original road nodes only once. The parallel strategies of HiAccess are fully optimized through theoretical analysis and experimental comparisons. HiAccess demonstrates the striking performance of measuring high-resolution (using 100 $text{m}times 100text{m}$ grids) accessibility of a city (in total over 250k grids, roads with 232k segments, 40 facilities) in 1 second without preprocessing, while ArcGIS takes nearly 1 hour to achieve a less satisfactory result.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129720371","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557139
Junzhong Tan, Mei Zhang, Xin Tan
As a new data source, night light remote sensing data are more suitable for the background of rapid urbanization in China. Therefore, in recent years, many scholars have used the night light remote sensing data to extract and study the expansion of urban construction land. However, researchers are still trying to find better methods to avoid the internal defects of night light data. This study assessed the advantages and disadvantages of existing methods for extracting urban construction land using night light data through actual applications. The results indicated that the areas of urban construction lands extracted using threshold methods were much closer to the authoritative data, and the shape coincidence degrees were also better, while the shape similarity degrees of urban construction lands extracted using the neighborhood analysis method were much better. Further analyses revealed that we may find a better method for extracting urban construction land by considering both the intensity of night light data and the natural boundaries of cities and towns.
{"title":"Methods for Extracting Urban Construction Land Using Night-Light Data: Assessment and Application","authors":"Junzhong Tan, Mei Zhang, Xin Tan","doi":"10.1109/GEOINFORMATICS.2018.8557139","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557139","url":null,"abstract":"As a new data source, night light remote sensing data are more suitable for the background of rapid urbanization in China. Therefore, in recent years, many scholars have used the night light remote sensing data to extract and study the expansion of urban construction land. However, researchers are still trying to find better methods to avoid the internal defects of night light data. This study assessed the advantages and disadvantages of existing methods for extracting urban construction land using night light data through actual applications. The results indicated that the areas of urban construction lands extracted using threshold methods were much closer to the authoritative data, and the shape coincidence degrees were also better, while the shape similarity degrees of urban construction lands extracted using the neighborhood analysis method were much better. Further analyses revealed that we may find a better method for extracting urban construction land by considering both the intensity of night light data and the natural boundaries of cities and towns.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129110061","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}