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Titlebook: Big Data Support of Urban Planning and Management; The Experience in Ch Zhenjiang Shen,Miaoyi Li Book 2018 Springer International Publishin

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楼主: 喜悦
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Bumpy Pyramids Folded from Petal Polygonsas, (3) general residential areas, (4) sub-commercial centers, (5) administration centers, (6) industrial community areas, (7) low-density suburban areas, (8) historical culture areas, (9) new residential areas, (10) agricultural areas, and (11) old age communities. Furthermore, these areas are clas
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Simulations III: Object-Oriented Models,1) the density of population appears to be monocentric distribution, and this characteristic is more significant during the day compared to that at night. The spatial distribution experiences the central aggregation process during daytime and the decentralization to suburban area during nighttime. (
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Computation and Social Science,ution of people, including the distribution of their jobs, travel, and other parameters, and established a city scape based only on job distribution, with spatial location data used to model the travel characteristics. Based on the parameters of population density, job density, balance of jobs and r
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Computation and Social Science, patterns of transit trips exposed in this chapter provide a good foundation for further analysis and modeling in the future. Meanwhile, it is recognized that the interpretation of observed patterns at this step is mostly superficial and hypothetical. In order to have a profound understanding of the
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Early Warning of Human Crowds Based on Query Data from Baidu Maps: Analysis Based on Shanghai Stampe
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Assessment of Regional Economic Integration Based on Relational Data: The Case of the Yangtze River Regarding the process of regional economic integration as the flow of capital, cargo, information, and mobility, big relational data are collected to characterize these indicators. Based on the database of company registration information from China’s State Administration for Industry and Commerce,
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The Fear of Ebola: A Tale of Two Cities in Chinato believe the rumors, while the official users play a major role in stopping rumors as they pay more attention to the fact; (4) the spread and elimination of rumors largely depend on the users who have more followers and friends; and (5) the topics of rumors are closely related to the local event.
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Geographic Big Data’s Applications in Retailing Business Marketlts indicate that more than 70% of stores can be explained by business district classifications. Also, results indicate that similar POI aggregations can be analyzed, from which 83% and 90% of stores’ locations can be explained for two retailers separately. Besides, the distance relationship between
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