全球变化科学研究数据出版系统
（世界数据中心）平台简介
《全球变化数据仓储电子杂志(中英文)》《全球变化数据学报(中英文)》，由中国科学院地理科学与资源研究所、中国地理学会联合主办，中国科学院主管的中英文双语、元数据-实体数据-数据论文关联配套出版、被纳入“卓越计划（分别为高起点刊和期刊群刊）”和“世界数据系统（WDS）”的学术期刊，并于2018年、2021年两度获得联合国世界信息峰会奖（电子科学组冠军奖），2025年再获联合国世界信息峰会电子科学类提名奖。
南京内城区手机用户画像地理信息数据集（2020）
黄琴诗1,2,3，陈家裕1，宋伟轩4*
1. 浙江科技大学土木与建筑工程学院，杭州 3100232；2. 同济大学建筑与城市规划学院，上海 200092；3.浙江嘉兴数字城市实验室有限公司，嘉兴 314050；4. 中国科学院南京地理与湖泊研究所流域地理学重点实验室，南京 210008
数据论文：《全球变化数据学报(中英文)》2024， 8(2): 178-186
DOI: 10.3974/geodp.2024.02.08
CSTR: 20146.14.2024.02.08
数据集：《全球变化数据仓储电子杂志(中英文)》2024,7(09)
DOI:10.3974/geodb.2024.07.09.V1
CSTR:20146.11.2024.07.09.V1
Geographic Information Dataset of Mobile Phone User Portrait in Inner-city Nanjing (2020)
Huang, Q. S.1,2,3 Chen, J. Y.1Song, W. X.4*
1. School of Civil Engineering and Architectural, Zhejiang University of Science and Technology, Hangzhou 3100232, China; 2. School of Architecture and Urban Planning, Tongji University, Shanghai 200092, China; 3. Zhejiang Jiaxing Digital City Laboratory Co. Ltd., Jiaxing 314050, China； 4. Key Laboratory of Watershed Geography, Nanjing Institute of Geography and Lakes, Chinese Academy of Sciences, Nanjing 210008, China
Data paper:Journal of Global Change Data & Discovery 2024， 8(2): 178-186
DOI: 10.3974/geodp.2024.02.08
CSTR:20146.14.2024.02.08
Dataset：Digital Journal of Global Change Data Repository 2024,7(09)
DOI:10.3974/geodb.2024.07.09.V1
CSTR:20146.11.2024.07.09.V1
南京内城区手机用户画像地理信息数据集（2020）
黄琴诗1,2,3陈家裕1 宋伟轩4*
1. 浙江科技大学土木与建筑工程学院，杭州3100232; 2. 同济大学建筑与城市规划学院，上海200092; 3. 浙江嘉兴数字城市实验室有限公司，嘉兴314050; 4. 中国科学院南京地理与湖泊研究所流域地理学重点实验室，南京210008
摘要：城市居民的空间分布随时间变化可能存在显著差异。作者基于手机用户画像数据与地理位置信息，分时段提取了南京内城区城市居民在日间活动（工作时段）与夜间居住（睡眠时段）的空间分布数据。以社区为空间单元，采用自然断点法和日夜相同分级标准，将各项指标变量分别划分为最高、高、中高、中、中低、低和最低7个等级，最终形成南京内城区手机用户画像地理信息数据集（2020）。该数据集内容包括：（1）研究区边界数据；（2）日间和夜间18类群体在125个社区的手机用户画像数据（即该群体人口占比的分类数据）。数据集存储为.shp、.tif、.txt格式，由311个数据文件组成，数据量为1.32 MB（压缩为1个文件，481 KB）。基于该数据集的分析研究成果发表在《地理学报》2024年79卷2期。
基金项目：国家自然科学基金(42201251，42171234)；浙江科技学院青年科学基金（2023QN013）数据引用方式：黄琴诗, 陈家裕, 宋伟轩*. 南京内城区手机用户画像地理信息数据集（2020）[J/DB/OL]. 全球变化数据仓储电子杂志(中英文), 2024. https://doi.org/10.3974/geodb.2024.07.09.V1.关联论文：宋伟轩, 徐旳, 王捷凯等. 基于手机画像数据的南京内城日夜间社会空间分异[J].地理学报, 2024, 79(2): 421-438.[1] 黄琴诗, 周强, 宋伟轩. 新时期城市居住分异研究的多维转向与尺度响应[J]. 地理科学进展, 2023, 42(3): 573-586.[2] 甄峰, 袁超, 张姗琪等. 智慧国土赋能城市高质量发展的路径研究: 以重庆为例[J]. 时空信息学报, 2024, 31(2): 1-13.[3] 王德, 韩滨鹂, 张天然等. 手机信令数据的出行测度准确性分析: 基于与居民出行调查数据的比较 [J]. 地理科学进展, 2024, 43 (5): 854-869.[4] 牛强, 伍磊, 盛富斌等. 基于个体职住迁移的武汉郊区新城职住动态平衡测度方法[J]. 地理学报, 2023, 78 (12): 3095-3108.[5] 宋伟轩, 徐旳, 王捷凯等. 基于手机画像数据的南京内城日夜间社会空间分异[J]. 地理学报, 2024, 79(2): 421-438.DOI:10.3974/geodb.2024.07.09.V1
Geographic Information Dataset of Mobile Phone User Portrait in Inner-city Nanjing (2020)
HUANG Qinshi1,2,3 CHEN Jiayu1SONG Weixuan4*1.School of Civil Engineering and Architectural，Zhejiang University of Science and Technology，Hangzhou 3100232，China; 2. School of Architecture and Urban Planning，Tongji University，Shanghai 200092，China; 3.Zhejiang Jiaxing Digital City Laboratory Co. Ltd.，Jiaxing 314050，China; 4.Key Laboratory of Watershed Geography，Nanjing Institute of Geography and Lakes，Chinese Academy of Sciences，Nanjing 210008，China
Abstract：The spatial distribution of urban residents may differ significantly over time. Based on the mobile phone user profile data and geographic location information, the authors extracted the spatial distribution data of urban residents in Nanjing inner-city during daytime activities (working hours) and nighttime residences (sleeping hours). The community was taken as a spatial unit, the natural breakpoint method and the same grading standard for day and night were used to classify each indicator variable into seven grades: highest, high, medium-high, medium, medium-low, low, and lowest, and ultimately obtain the geographic information dataset of mobile phone user portrait in inner-city of Nanjing (2020). The dataset includes: (1) boundary of study area; (2) mobile phone user portrait data in 125 communities with eighteen typical dimensions. The dataset is archived in .shp, .tif, and .txt data formats, and consists of 311 data files with data size of 1.32 MB (Compressed into one file with 481 KB). The analysis article based on the dataset has been published at Acta Geographica Sinica, Vol. 79, No. 2, 2024.
Key Words：Nanjing inner city,mobile phone portraits,daytime activities,nighttime residenceFoundation Item：National Natural Science Foundation of China (42201251, 42171234); Zhejiang University of Science and Technology (2023QN013)Data Citation：HUANG Qinshi, CHEN Jiayu, SONG Weixuan*. Geographic Information Dataset of Mobile Phone User Portrait in Inner-city Nanjing (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.07.09.V1.
Related Publication：Song, W. X., Xu, D., Wang, J. K., et al. Spatial differentiation of daytime and nighttime society in Nanjing inner city based on cell phone portrait data [J]. Acta Geographica Sinica, 2024, 79(2): 421-438.
References：
[1] Huang, Q. S., Zhou, Q., Song, W. X. Multidimensional steering and scale response in the study of urban residential differentiation in the new era [J]. Progress in Geography, 2023, 42(3): 573-586.[2] Zhen, F., Yuan, C., Zhang, S. Q., et al. A study on the path of smart land enabling high-quality development of cities: a case study of Chongqing [J]. Journal Spatio-temporal Information, 2024, 31(2): 1-13.[3] Wang, D., Han, B. L., Zhang, T. R., et al. Accuracy analysis of mobile signaling data in measuring travel indices: Based on the comparison with household travel survey [J]. Progress in Geography, 2024, 43(5): 854-869.[4] Niu, Q., Wu, L., Sheng, F. B., et al. Measuring the dynamic balance of jobs and housing in Wuhan's suburban new towns based on individual job and housing migration [J]. Acta Geographica Sinica, 2023, 78 (12): 3095-3108.[5] Song, W. X., Xu, D., Wang, J. K., et al. Spatial differentiation of daytime and nighttime society in Nanjing inner city based on cell phone portrait data [J]. Acta Geographica Sinica, 2024, 79(2): 421-438.DOI:10.3974/geodb.2024.07.09.V1
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