{"title":"Analysis of Spatial Distribution Characteristics and Format Changes of Community Business Based on Internet Big Data","authors":"Zong He, Sheng Ye, Yahui Jia, Jian Liu","doi":"10.1145/3397056.3397058","DOIUrl":"https://doi.org/10.1145/3397056.3397058","url":null,"abstract":"Community business is the foundation of urban commerce, an important carrier to meet the comprehensive consumption of residents, and an important element of urban quality improvement. Based on the collection and processing of internet big data, combined with the understanding of the connotation of community business, this paper uses GIS spatial analysis technology and nuclear density analysis technology to analyze the spatial distribution characteristics and format changes of community business in the Chongqing. The results show that: (1) The community business in the Chongqing shows a state of \"the south is more important than the north\". (2) The community business in the Chongqing shows the form of \"multi-core + multi-node\". In addition to the obvious clustering of community business in the surrounding city business area, there are also many strong community businesses co-existing, and its nuclear density value is comparable to that of the community business in the surrounding city business area, which is in line with the multi-group spatial layout in the Chongqing. (3) There is a strong spatial correlation between the community business and the resident population as a whole, the correlation coefficient is 0.82. (4) From 2014 to 2019, the growth of community business space in the Chongqing is mainly within the inner ring, while showing the trend of diffusion from the inner ring to the outer ring. (5) From 2014 to 2019, the number of commercial shopping facilities in the Chongqing increased, while the number of catering facilities decreased.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"576 1 Pt 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132643480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantization Effect on BeiDou Signal in Jamming Environment","authors":"Yuchen Xie, Zukun Lu, Feixue Wang, Jingyuan Li, Kecheng Zhang","doi":"10.1145/3397056.3397060","DOIUrl":"https://doi.org/10.1145/3397056.3397060","url":null,"abstract":"The radio frequency interference has become a rising problem to the signal of BeiDou Navigation Satellite System (BDS). Many researchers have analyzed the impact of jammer on the loss of Signal to Noise Ratio (SNR) of receivers after post-correlation. On the other hand, as the first section of receiver to perform the analog-to-digital conversion, quantizer is also influenced by the jamming signal and will cause a loss of SNR as well. In this paper, the effect of quantization on SNR of BDS signal is analyzed based on the theory of random signal processing, and the effects of continuous wave interference and wide-band interference on quantization loss are analyzed as well. The deduction result shows that the quantization loss of BDS signal is related to the wei-ghted probabilities, and the presence of jammer enhances the misjudgment rate so that increasing the quantization loss. The simulation result shows that the quantization loss of receiver will significantly increase because of jamming signal, and the loss is also positive related to the power of jammer.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115486563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Point Flood Query Based on Fast Binary Merge Tree","authors":"Ye Wu, Xuqiao Wu, Luo Chen","doi":"10.1145/3397056.3397075","DOIUrl":"https://doi.org/10.1145/3397056.3397075","url":null,"abstract":"In recent years, flood-risk analysis has played an important role in the evaluation of submergence and flooding simulation. In this paper, we study a flood point query problem: Given a terrain T and total volume of rainfall in the area, determine if a given point is flooded. Existing methods build a contour tree by exacting all data points from T, and then get a merge tree, which is complicated with increasing resolution of terrains. Given the volume of rain, this paper proposes a flood analysis algorithm based on a fast binary merge tree generation. By eliminating the invalid saddle vertices in the data, the algorithm directly establishes the merger tree according to the corresponding contour hierarchy. Besides, the area and volume are also attached to enrich the merge tree. We describe a suite of experimental results showing the performance of our algorithm in practice and the running time of the preprocessing step is greatly reduced.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114406410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Exploration and Practice of 3D Laser Scanning in the Safety Detection of Beijing Bell and Drum Towers","authors":"Xunhu Zhang, Xiaojuan Wei","doi":"10.1145/3397056.3397076","DOIUrl":"https://doi.org/10.1145/3397056.3397076","url":null,"abstract":"In order to make Beijing Bell and Drum Towers' Safety detection and structural stability evaluation, we carried out a three-dimensional laser surveying and mapping of Beijing Bell and Drum Towers. And based on three-dimensional laser point cloud data, carried out flat, vertical, cross-sectional construction mapping of the main architecture, texture mapping, city platform tower wall inclined, tilted of the floor, wall roughness and surface flatness measuring of City platform, deformation detection of large timber structure, skew measurement of stone railing and other comprehensive detection work. It provides a detailed basis for the stability evaluation of the main architecture structure. In practice, explore the ancient architecture integrated application safety Inspection items use three-dimensional laser scanning technology, to carry out deformation measurement, disease testing and Safety detection of technical methods and procedures. At the same time, it also provides a comprehensive and detailed data for the follow-up repair engineering design and current data retention.","PeriodicalId":365314,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125348357","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}