裴韬，中国科学院地理科学与资源研究所，地理信息科学与技术全国重点实验室 研究员，博士生导师，城市大数据专业委员会副主任委员，中国GIS理论与方法学术委员会委员，国家杰出青年基金获得者(2015)。已在国内外发表论文260余篇，其中SCI论文200余篇，合作出版专著6部。担任《Transactions in GIS》、《Information Geography》、《地球信息科学》等杂志编委。国家重点研发专项项目“地理大数据挖掘与模式发现”首席科学家，入选国家级“百千万人才工程”，获第十一届全国青年地理科技奖，中国科学院王宽诚奖励基金卢嘉锡青年人才奖，北京市科技新星，中国科学院青年创新促进会优秀会员，李佩优秀教师奖，朱李月华优秀教师奖。获评2004年、2006年、2010年和2019年中国科学院大学优秀研究生课程。以第一完成人获测绘科学技术特等奖、一等奖以及北京市科技进步二等奖。

研究领域与研究方向：

地理大数据挖掘、空间统计的理论方法及其智慧城市、公共卫生等方面的应用研究

教育背景：（倒序排列）

1989年9月－1993年7月就读于中国地质大学（武汉），获学士学位；

1993年9月－1998年7月就读于中国地质大学（武汉），获博士学位；

工作经历：（倒序排列）

2013年12月-至今，中国科学院地理科学与资源研究所研究员；

2012年9月－2013年3月，美国麻省理工学院城市规划系Senseable City Lab高级访问学者；

2000年7月－2013年11月，中国科学院地理科学与资源研究所副研究员；

2007年2月－2007年8月，英国帝国理工学院数学系访问学者；

1998年8月－2000年6月，中国科学院地理科学与资源研究所博士后；

科研业绩：

    围绕地理空间分析基础理论，分别就时空点模式和地理流模式开展研究取得以下进展。（1）建立了复杂时空点集的模式分解理论，可将任意复杂的时空点集分解为不同强度的均匀点过程，从根本上解决了时空点集分解与模式提取的理论难题。该理论对于时空点集数据的作用可与傅立叶变换对于初等函数的贡献进行类比，因此该理论又可称为“点集数据的傅立叶变换理论”。（2）构建了地理流的空间分析理论，从计算几何的角度，提出了流空间的基本结构，将地理流的主要分析操作规范为流空间中的基本算子，实现了地理流拓扑分析、时空相关性、时空异质性、时空模式、时空估计、空间自相似、空间交互、多元协同等系列计算方法，建立了流空间结构-流模式分析-流空间估计-流模拟预测的理论和方法体系，成为人群活动、实体流动、空间交互等研究的新视角，并为空间规划、公共卫生、态势模拟等应用提供了新的工具。地理流的研究已成为地理信息科学新的分支与热点，并可视为地理信息科学中的“复分析”。

科研项目:

(1) 国家自然科学基金委员会，重点项目（课题号：42330107），地理流空间的理论基础与分析模型 , 2024-01-01至2028-12-31，在研，主持

(2) 科技部，国家重点研发项目，地理大数据挖掘与时空模式发现（课题号：2017YFB0503600），2017-01-01至 2020-12-31，结题，主持

(3) 国家自然科学基金委员会, 专项项目（课题号：42041001）, 基于时空大数据的重大疫情空间溯源与传染链重构研究，2020-04-01至2020-12-31，结题，主持

(4) 国家杰出青年科学基金，时空数据挖掘（课题号：41525004），2016-01-01至2020年-12-31，课题负责人；

(5) 国家自然科学基金项目，面向时空轨迹数据异常和关联模式的挖掘模型（课题号：41171345），2012-01-01至2015-12-31，课题负责人；

(6) 863课题，泛在空间信息关联更新与面向主题空间数据挖掘分析技术研究（课题号：2012AA12A403），2012-01-01至2015-12-31，课题负责人；

(7) 973课题，空间数据认知模式与海量空间数据库知识发现（课题号：2006CB701305），2006-01-01至2010-12-31，课题负责人

代表性论著：

2024

1. 裴韬等. 2024. 地理流空间分析，科学出版社.

2. Huang Z W, Luo M*, Lin L J*, Liu X P, Li S Y, Meng L N, Ge E J, Zhang W, Wang X Y, Wu S J, Pei T*. 2024. Uneven rainfall effects on small-scale economic growth: Evidence from Chinese counties. The Innovation Geoscience, 2(3): 100090. (共同通讯)

3. Pei T*, Yan X R, Shu H, Wang X, Chen X, Guo S H, Jiang J Y, Song C, Chen J. 2024. Geographical flows: a fresh perspective on quantifying urban function. Urban Informatics. 3(14): 1-9.

4. Zhu X Y, Ma X L*, Zhang Z Y, Liu Y X, Luo Y P, Yan K, Huete A, Pei T*. 2024. Floating in the air: forecasting allergenic pollen concentration for managing urban public health. International Journal of Digital Earth, 17(1): 1-22. (共同通讯)

5. Luo M*, Wu S J, Lau G N, Pei T*, Liu Z, Wang X Y, Ning G C, Chan T O, Yang Y G, Zhang W*. 2024. Anthropogenic forcing has increased the risk of longer-traveling and slower-moving large contiguous heatwaves. Science Advances, 10: 1598. (共同通讯)

6. Jiang L F, Jiang J Y, Liu X H, Fang Z D, Liu T Y, Wang X, Gao M, Shu H, Pei T*. 2024. Visualizing road connectivity under traffic influence: a CiteSpace-based method. Cartography and Geographic Information Science, 1-16.

7. Yan X R, Fu Z T, Pei T*, Song C, Fang Z D, Liu X H, Gao M, Chen X, Chen J. 2024. Enhanced scan statistic with tightened window for detecting irregularly shaped hotspots. International Journal of Geographical Information Science, 39(1): 207-230.

8. Yan X R, Song C, Pei T*, Ge E J, Liu L, Wang X, Jiang L F. 2024. Spatiotemporal infection dynamics: Linking individual movement patterns to infection status. Cities, 150: 104932.

9. Liu T Y, Pei T*, Fang Z D, Wu M B, Liu X H, Yan X R, Song C, Jiang J Y, Jiang L F, Chen J. 2024. Spatiotemporal mobility network of global scientists, 1970–2020. International Journal of Geographical Information Science, 38(10): 1991–2018.

10. Chen X, Pei T*, Song C, Shu H, Guo S H, Wang X, Liu Y X, Chen J. 2024. Coupling human mobility and social relationshipsto predict individual socioeconomic status: A graph neural network approach. Transactions in GIS, 28(5): 1412-1438.

11. Fang Z D, Pei T*, Song C, Yan X R, Liu L, Guo S H, Liu Y X, Peng Y, Ge D S, Chen J. 2024. Revealing the heterogeneity of periodic visiting patterns across different ages and spaces using a flexible detection method: A case study of Beijing. Applied Geography, 168: 103315.

12. Liu X H, Pei T, Wang X, Liu T Y, Fang Z D, Jiang L F, Jiang J Y, Yan X R, Wu M B, Peng Y, Ge D S, Gao X*, Song C, Chen J. 2024. Travel flow patterns of diverse population groups and influencing built environment factors: A case study of Beijing. Cities, 151: 105096. 

2023

13. Zhang S Y, Liu J M*, Pei T*, Chan C S, Gao C X, Meng B. 2023. Tourism Value Assessment of Linear Cultural Heritage: The Case of the Beijing-Hangzhou Grand Canal in China. Current Issues in Tourism, 26(1): 47-69. (共同通讯)

14. Guo B Y, Pei T, Song C, Shu H, Wu M B, Guo S H, Jiang J Y, Du P J. 2023. Trend surface analysis of geographic flows. International Journal of Geographical Information Science, 37(1), 118–137.

15. He D, Chen Z X, Pei T*, Zhou J. 2023. Analysis of structural evolution and its influencing factors of the high-speedrailway network in China's three urban agglomerations. Cities, 132: 104063.

16. Zhang H, Luo M*, Pei T*, Liu X P, Wang L, Zhang W, Lin L J , Ge E J, Liu Z, Liao W L. 2023. Unequal urban heat burdens impede climate justice and equity goals. Innovation, 4(5): 100488.

17. Wang X, Pei T*, Song C, Chen J, Shu H, Chen X, Wu M B. 2023. A new flow-based centrality method for identifying statistically significant centers. Sustainable Cities and Society, 99: 104984.

18. Fang Z D, Shu H, Song C, Chen J, Liu X H, Jiang J Y, Jiang L F, Liu T Y, Pei T*. 2023. Length-squared L-function for identifying clustering pattern of network-constrained flows. International Journal of Digital Earth, 16(2): 4191-4211.

19. Fang Z D, Song C, Shu H, Chen J, Liu T Y, Wang X, Chen X, Yan X R, Pei T*. 2023. Length L-function for network-constrained point data. Transactions in GIS, 27(2): 476-493.

20. Wang X, Pei T*, Song C, Chen J, Shu H, Liu Y X, Guo S H, Chen X. 2023. How does socioeconomic status influence social relations? A perspective from mobile phone data. Physica A: Statistical Mechanics and its Applications, 615:128612.

21. Yan X R, Pei T*, Shu H, Song C, Wu M B, Fang Z D, Chen J. 2023. Spatiotemporal Flow L-function: a new method for identifying spatiotemporal clusters in geographical flow data. International Journal of Geographical Information Science, 37(7): 1615-1639.

22. Yan X R, Pei T*, Song C, Liu X H. Estimating spatiotemporal aggregation scales by revisiting the spatiotemporal L-function, Transactions in GIS, 27(2): 592-604.

23. Wang X, Pei T*, Song C, Chen J, Liu Y X, Guo S H, Chen X, Shu H. 2023. X-index: A novel flow-based locational measure for quantifying centrality. International Journal of Applied Earth Observation and Geoinformation, 117: 103187.

24. Fang Y, Pei T, Song C*, Chen J, Wang X, Chen X, Liu Y X. 2023. A kriging interpolation model for geographical flows. International Journal of Geographical Information Science, 37(10): 2150-2174. 

25. Su F Z*, Fan R, Yan F Q, Meadows M, Lyne V, Hu P, Song X Z, Zhang T Y, Liu Z H, Zhou C H, Pei T, Yang X M, Du Y Y, Wei Z X, Wang F, Qi Y Q, Chai F. 2023. Widespread global disparities between modelled and observed mid-depth ocean currents. Nature Communications, 14: 2089. 

2022

26. Guo S H, Pei T*, Wang X, Song C, Chen X, Chen J, Shu H, Liu Y X, Wu M B. 2022. Equity of subway accessibility: A perspective from work commute trips. Transportation Research Part D: Transport and Environment, 113: 103515.

27. Zhu J*, Xu Y, Yu G J, Gao J, Liu Y, Cheng D Y, Song C, Chen J, Pei T*. 2022. A LASSO-Based Prediction Model for Child Influenza Epidemics: A Case Study of Shanghai, China. Mathematical Problems in Engineering, 2022: 1775630. (共同通讯)

28. Song C, Pei T*, Wang X, Liu Y X, Ma J, Zhou D J. 2022. Dynamic characteristics of the COVID-19 epidemic in China’s major cities. Annals of GIS, 28(4): 445-456.

29. Jiang J Y, Wang X, Liu T Y, Fang Z D, Pei T*, Song C, Du P J. 2022. Topological relationship model for geographical flows. Cartography and Geographic Information Science, 49(6): 528-544.

30. Chen X, Pei T*, Song C, Shu H, Guo S H, Wang X, Liu Y X, Chen J, Zhou C H. 2022. Accessing public transportation service coverage by walking accessibility to public transportation under flow buffering. Cities, 125: 103646.

31. Shu H, Pei T*, Song C, Chen J, Chen X, Guo S H, Liu Y X, Wang X, Wang X Y, Zhou C H. 2022. Density-based clustering for bivariate-flow data. International Journal of Geographical Information Science, 36(9): 1809-1829.

32. Yan X R, Song C, Pei T*, Wang X, Wu M B, Liu T Y, Shu H, Chen J. 2022. Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing. Cities, 127: 103754.

33. 赵桐, 李泽峰, 宋柳依, 熊美成, 廖一兰, 裴韬*. 2022. 基于微博大数据的北京市流动人口情绪与职住分布的关系研究. 地球信息科学学报, 24(10): 1898-1910.

34. Wang X Y, Pei T*, Li K X, Cen Y, Shi M, Zhuo X, Mao T Y. 2022. Analysis of changes in population's cross-city travel patterns in the pre- and post-pandemic era: A case study of China. Cities, 122: 103472.

35. Huang Q, Liu Q Y, Song C, Liu X B, Shu H, Wang X, Liu Y X, Chen X, Chen J, Pei T*. 2022. Urban spatial epidemic simulation model: A case study of the second COVID-19 outbreak in Beijing, China. Transactions in GIS, 26(1): 297-316.

36. Qian J L, Du Y Y*, Yi J W, Liang F Y, Huang S, Wang X Y, Wang N, Tu W N, Pei T, Ma T. 2022. Regional geographical and climatic environments affect urban rainstorm perception sensitivity across China. Sustainable Cities and Society, 87: 104213. 

37. Xu J*, Liu J, Xu Y, Lyu Y S, Pei T, Du Y Y, Zhou C H. 2022. Identification of spatial and functional interactions in Beijing based on trajectory data. Applied Geography, 145: 102744. 

38. Ge Y*, Ma T, Pei T, Weng H X, Li X, Zhang X N. 2022. Progress of big geodata. Science Bulletin, 67: 1739-1742. 

2021

39. Cheng D Y, Yue G, Pei T*, Wu M B. 2021. Clustering Indoor Positioning Data Using E-DBSCAN. ISPRS International Journal of Geo-Information, 10(10): 669. 

40. Liu Y X, Pei T*, Song C, Chen J, Chen X, Huang Q, Wang X*, Shu H, Guo S H, Zhou C H. 2021. How did human dwelling and working intensity change over different stages of COVID-19 in Beijing? Sustainable Cities and Society, 74: 103206. (共同通讯)

41. 裴韬*, 黄强, 王席, 陈晓, 刘亚溪, 宋辞, 陈洁, 周成虎. 2021. 地理大数据聚合的内涵、分类与框架. 遥感学报, 25(11): 2153-2162.

42. Pei T, Xu J, Liu Y, Huang X, Zhang L Q, Qin C Z, Song C, Gong J Y*, Zhou C H*. 2021. GIScience and remote sensing in natural resource and environmental research: Status quo and future perspectives. Geography and Sustainability, 2(3): 207-215. (共同一作)

43. 崔明洁, 姚霞, 方昊然, 张杨成思, 杨德刚, 裴韬*. 2021. SARS与COVID-19时空传播差异性及影响因素分析. 地球信息科学学报, 23(11): 1910-1923. 

44. He D, Chen Z X, Pei T*, Zhou J. 2021. The Regional and Local Scale Evolution of the Spatial Structure of High-Speed Railway Networks-A Case Study Focused on Beijing-Tianjin-Hebei Urban Agglomeration. ISPRS International Journal of Geo-Information, 10(8): 543. 

45. Zhu J, Cheng D Y, Zhang W W, Song C, Chen J, Pei T*. 2021. A New Approach to Measuring the Similarity of Indoor Semantic Trajectories. ISPRS International Journal of Geo-Information, 10(2): 90.

46. Zhao A Z, Liu X F, Pei T*, Wang J J, Zhang A B, Song C. 2021. 京津冀地区不透水表面覆盖率的时空演变及其对植被的影响, 地理研究, 40(6): 1582-1595.

47. 高楹, 宋辞, 郭思慧, 裴韬*. 2021. 接驳地铁站的共享单车源汇时空特征及其影响因素. 地球信息科学学报, 23(1): 155-170.

48. Guo S H, Pei T*, Xie S Y, Song C, Chen J, Liu Y X, Shu H, Wang X, Yin L. 2021. Fractal dimension of job-housing flows: A comparison between Beijing and Shenzhen. Cities, 112: 103120.

49. Wang X, Chen J, Pei T*, Song C, Liu Y X, Shu H, Guo S H, Chen X. 2021. I-index for quantifying an urban location's irreplaceability. Computers, Environment and Urban Systems, 90: 101711.

50. Wu M B, Pei T*, Wang W L, Guo S H, Song C, Chen J, Zhou C H. 2021. Roles of locational factors in the rise and fall of restaurants: A case study of Beijing with POI data. Cities, 113: 103185.

51. 裴韬*, 王席, 宋辞, 刘亚溪, 黄强, 舒华, 陈晓, 郭思慧, 周成虎. 2021. COVID-19疫情时空分析与建模研究进展. 地球信息科学学报, 23(2): 188-210.

52. 刘亚溪, 宋辞, 刘起勇, 张知新, 王席, 马佳, 陈晓, 裴韬*. 2021. 重庆市新型冠状病毒肺炎流行时空特征及其与人群活动性的关系. 地球信息科学学报, 23(2): 222-235.

53. 杜云艳*, 易嘉伟, 薛存金, 千家乐, 裴韬. 2021. 多源地理大数据支撑下的地理事件建模与分析. 地理学报, 76(11): 2853-2866. 

54. 李新*, 袁林旺, 裴韬, 黄昕, 刘广, 郑东海. 2021. 信息地理学学科体系与发展战略要点. 地理学报, 76(9): 2094-2103. 

55. Wang J, Meng B*, Pei T, Du Y Y, Zhang J Q, Chen S Y, Tian B, Zhi G Q. 2021. Mapping the exposure and sensitivity to heat wave events in China's megacities. Science of the Total Environment, 755(1): 142734. 

56. Xu J*, Liu J, Xu Y, Pei T. 2021. Visualization and analysis of local and distant population flows on the Qinghai-Tibet Plateau using crowd-sourced data. Journal of Geographical Sciences, 31:231-244. 

57. Wei Y, Wang J E*, Song W, Xiu C L, Ma L, Pei T. 2021. Spread of COVID-19 in China: analysis from a city-based epidemic and mobility model. Cities, 110: 103010. 

58. Qian J L, Liu Z, Du Y Y*, Liang F Y, Yi J W, Ma T, Pei T. 2021. Quantify city-level dynamic functions across China using social media and POIs data. Computers, Environment and Urban Systems, 85: 101552. 

2020

59. Xi W, Pei T*, Liu Q, Song C, Liu Y, Chen X, Ma J, Zhang Z. 2020. Quantifying the Time-Lag Effects of Human Mobility on the COVID-19 Transmission: A Multi-City Study in China. IEEE Access, 8: 210178-210190.

60. 赵安周, 裴韬*, 曹森, 张安兵, 范倩倩, 王金杰. 2020. 京津冀城市扩张对植被和地表城市热岛的影响. 中国环境科学, 40(4): 1825-1833. 

61. Zhao A*, Yu Q, Feng L, Zhang A, Pei T. 2020. Evaluating the cumulative and time-lag effects of drought on grassland vegetation: A case study in the Chinese Loess Plateau. Journal of Environmental Management, 261: 110214. 

62. 陈晓, 黄宇金, 李佳慧, 汪诗洋, 裴韬*. 2020. COVID-19疫情时空聚集性特征及影响因素分析——以重庆市为例. 地理科学进展, 39(11): 1798-1808.

63. Zhang L, Pei T*, Wang X, Wu M, Song C, Guo S, Chen Y. 2020. Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images. Applied Sciences, 10(17): 5963.

64. Zhang L, Pei T*, Meng B, Lian Y, Jin Z. 2020. Two-Phase Multivariate Time Series Clustering to Classify Urban Rail Transit Stations. IEEE Access, 8: 167998-168007.

65. Pei T*, Liu Y, Shu H, Ou Y, Wang M, Xu L. 2020. What Influences Customer Flows in Shopping Malls: Perspective from Indoor Positioning Data. ISPRS International Journal of Geo-Information, 9(11): 629. 

66. Shu H, Pei T*, Song C, Chen X, Guo S, Liu Y, Chen J, Wang X, Zhou C. 2021. L-function of geographical flows. International Journal of Geographical Information Science, 35(4): 689-716.

67. Chen J, Pei T*, Li M, Song C, Ma T, Lu F, Shaw S L. 2020. An enhanced model for evacuation vulnerability assessment in urban areas. Computers, Environment and Urban Systems, 84: 101540. 

68. Pei T*, Song C, Guo S, Shu H, Liu Y, Du Y, Ma T, Zhou C. 2020. Big geodata mining: Objective, connotations and research issues. Journal of Geographical Sciences, 30(2): 251-266. 

69. 裴韬*, 舒华, 郭思慧, 宋辞, 陈洁, 刘亚溪, 王席. 2020. 地理流的空间模式：概念与分类. 地球信息科学学报, 22(1): 30-40. 

70. Song C, Pei T*, Shu H. 2020. Identifying Flow Clusters Based on Density Domain Decomposition. IEEE Access, 8: 5236-5243. 

71. Liu Y X, Cheng D Y, Pei T*, Shu H, Ge X H, Ma T, Du Y Y, Ou Y, Wang M, Xu L M. 2020. Inferring gender and age of customers in shopping malls via indoor positioning data. Environment and Planning B: Urban Analytics and City Science, 47(9): 1672-1689.

72. Ma T*, Zhao N, Ni Y, Yi J, Wilson J P, He L, Du Y, Pei T, Zhou C*, Song C, Cheng W. 2020. China’s improving inland surface water quality since 2003. Science Advances, 6(1): eaau3798. 

73. Zhao A*, Zhang A, Cao S, Feng L, Pei T. 2020. Spatiotemporal patterns of water use efficiency in China and responses to multi-scale drought. Theoretical and Applied Climatology, 140(1): 559-570. 

74. He Z, Deng M*, Xie Z, Wu L, Chen Z, Pei T. 2020. Discovering the joint influence of urban facilities on crime occurrence using spatial co-location pattern mining. Cities, 99: 102612. 

75. Zhou C*, Su F*, Pei T, Zhang A, Du Y, Luo B, Cao Z, Wang J, Yuan W, Zhu Y, Song C, Chen J, Xu J, Li F, Ma T, Jiang L, Yan F, Yi J, Hu Y, Liao Y, Xiao H. 2020. COVID-19: Challenges to GIS with Big Data. Geography and Sustainability, 1(1): 77-87. 

76. Ma T*, Sun S, Fu G, Hall J W, Ni Y, He L, Yi J, Zhao N, Du Y, Pei T, Cheng W, Song C, Fang C, Zhou C. 2020. Pollution exacerbates China's water scarcity and its regional inequality. Nature Communications, 11(1): 650. 

77. 周成虎*, 裴韬, 杜云艳, 陈洁, 许珺, 王姣娥, 张国义, 苏奋振, 宋辞, 易嘉伟, 马廷, 葛咏, 张岸, 姜莉莉. 2020. 新冠肺炎疫情大数据分析与区域防控政策建议. 中国科学院院刊, 35(2): 200-203. 

78. 刘张, 千家乐, 杜云艳,* 王楠, 易嘉伟, 孙晔然, 马廷, 裴韬, 周成虎. 2020. 基于多源时空大数据的区际迁徙人群多层次空间分布估算模型——以COVID-19疫情期间自武汉迁出人群为例. 地球信息科学学报, 22(2): 147-160. 

79. 易嘉伟*, 王楠, 千家乐, 马廷, 杜云艳, 裴韬, 周成虎, 涂文娜, 刘张, 王会蒙. 2020. 基于大数据的极端暴雨事件下城市道路交通及人群活动时空响应. 地理学报, 75(3): 497-508. 

2019

80. Ma J, Zhang Z, Niu W, Chen J, Guo S, Liu S, Dong Y, Yang Z, Wang W, Song C, Ma J, Pei T*. 2019. Education, Altitude, and Humidity Can Interactively Explain Spatial Discrepancy and Predict Short Stature in 213,795 Chinese School Children. Frontiers in Pediatrics, 7: 425.

81. Wang W, Pei T*, Chen J, Song C, Wang X, Shu H, Ma T, Du Y. 2019. Population Distributions of Age Groups and Their Influencing Factors Based on Mobile Phone Location Data: A Case Study of Beijing, China. Sustainability, 11(24): 7033.

82. Ma J, Pei T*, Dong F, Dong Y, Yang Z, Chen J, Guo S, Zhao Q, Wang S, Ma J, Zhang Z. 2019. Spatial and demographic disparities in short stature among school children aged 7-18 years: a nation-wide survey in China, 2014. BMJ Open, 9(7): e026634.

83. Zhen J, Pei T*, Xie S. 2019. Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil. Science of The Total Environment, 659: 363-371.

84. Song C, Pei T*, Ma T, Du Y, Shu H, Guo S, Fan Z. 2019. Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization. International Journal of Geographical Information Science, 33(1): 134-154.

85. 张丽英, 裴韬*, 陈宜金, 宋辞, 刘小茜. 2019. 基于街景图像的城市环境评价研究综述. 地球信息科学学报, 21(1): 46-58.

86. 刘小茜, 裴韬*, 舒华, 高锡章. 2019. 基于文献计量学的社会—生态系统恢复力研究进展. 地球科学进展, 34(7): 765-777.

87. 承达瑜, 秦坤, 裴韬*, 欧阳, 王蒙, 徐连明. 2019. 基于室内定位数据的群体时空行为可视化分析. 地球信息科学学报, 21(1): 36-45.

88. 王向东, 刘小茜, 裴韬*, 王振波. 2019. 基于技术效率测算的京津冀城市土地集约利用潜力评价. 地理学报, 74(9): 1853-1865.

89. Liu Y, Pei T*, Song C, Shu H, Wang X. 2019. Indoor Mobility Interaction Model: Insights into the Customer Flow in Shopping Malls. IEEE Access, 7: 138353-138363.

90. Guo S, Song C, Pei T*, Liu Y, Ma T, Du Y, Chen J, Fan Z, Tang X, Peng Y, Wang Y. 2019. Accessibility to urban parks for elderly residents: Perspectives from mobile phone data. Landscape and Urban Planning, 191: 103642.

91. Song C, Pei T*. 2019. Decomposition of Repulsive Clusters in Complex Point Processes with Heterogeneous Components. ISPRS International Journal of Geo-Information, 8(8): 326.

92. Shu H, Pei T*, Song C, Ma T, Du Y, Fan Z, Guo S. 2019. Quantifying the spatial heterogeneity of points. International Journal of Geographical Information Science, 33(7): 1355-1376.

93. 宋辞, 裴韬*. 2019. 北京市多尺度中心特征识别与群聚模式发现. 地球信息科学学报, 21(3): 384-397.

94. 裴韬*, 刘亚溪, 郭思慧, 舒华, 杜云艳, 马廷, 周成虎. 2019. 地理大数据挖掘的本质. 地理学报, 74(3): 586-598.

95. 裴韬, 郭思慧, 袁烨城*, 张雪英, 袁文, 高昂, 赵志远, 薛存金. 2019. 面向公共安全事件的网络文本大数据结构化研究. 地球信息科学学报, 21(1): 2-13.

96. Ma T, Pei T*, Song C, Liu Y, Du Y, Liao X. 2019. Understanding geographical patterns of a city’s diurnal rhythm from aggregate data of location-aware services. Transactions in GIS, 23(1): 104-117. 

97. Guo S, Yang G, Pei T*, Ma T, Song C, Shu H, Du Y, Zhou C. 2019. Analysis of factors affecting urban park service area in Beijing: Perspectives from multi-source geographic data. Landscape and Urban Planning, 181: 103-117.

98. Yi J, Du Y*, Liang F, Pei T, Ma T, Zhou C. 2019. Anomalies of dwellers' collective geotagged behaviors in response to rainstorms: a case study of eight cities in China using smartphone location data. Natural Hazards and Earth System Sciences, 19(10): 2169-2182. 

99. Cai L, Xu J*, Liu J, Ma T, Pei T, Zhou C H. 2019. Sensing multiple semantics of urban space from crowdsourcing positioning data. Cities, 93: 31-42. 

100. Ma T*, Zhu R, Wang J, Zhao N, Pei T, Du Y, Zhou C, Chen J. 2019. A proportional odds model of human mobility and migration patterns. International Journal of Geographical Information Science, 33(1): 81-98. 

2018

101. 高楹, 宋辞, 舒华, 裴韬*. 2018. 北京市摩拜共享单车源汇时空特征分析及空间调度. 地球信息科学学报, 20(8): 1123-1138.

102. Fan Z D, Pei T*, Ma T, Du Y Y, Song C, Liu Z, Zhou C H. 2018. Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China. Computers, Environment and Urban Systems, 69: 114-123.

103. Chen J, Pei T*, Shaw S L, Lu F, Li M X, Cheng S F, Liu X L, Zhang H C. 2018. Fine-grained prediction of urban population using mobile phone location data. International Journal of Geographical Information Science, 32(9): 1770-1786.

104. 刘小茜, 裴韬*, 周成虎, 杜云艳, 马廷, 谢传节, 许珺. 2018. 煤炭资源型城市多适应性情景动力学模型研究-以鄂尔多斯市为例. 中国科学：地球科学, 48(2): 243-258.

105. Liu X Q, Pei T*, Zhou C H, Du Y Y, Ma T, Xie C J, Xu J. 2018. A systems dynamic model of a coal-based city with multiple adaptive scenarios: A case study of Ordos, China. Science China-Earth Sciences, 61(3): 302-316.

106. 刘菊, 许珺*, 蔡玲, 孟斌, 裴韬. 2018. 基于出租车用户出行的功能区识别. 地球信息科学学报, 20(11): 1550-1561. 

107. Liu Z, Ma T*, Du Y Y, Pei T, Yi J W, Peng H. 2018. Mapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records. Transactions in GIS, 22(2): 494-513. 

108. Cai L, Xu J*, Liu J, Pei T. 2018. Integrating spatial and temporal contexts into a factorization model for POI recommendation. International Journal of Geographical Information Science, 32(3): 525-546. 

2017

109. 陈曦东, 毛凌潇, 陈丙寅, 裴韬*, 任雨. 2017. 宋词中情感的时空特征分析. 地理科学进展, 36(9): 1140-1148.

110. 郭思慧, 文聪聪, 何云, 裴韬*. 2017. 居民出行活动特征与收入水平的关系-以上海市为例. 地理科学进展, 36(9): 1158-1166.

111. 刘小茜, 马廷, 裴韬*, 王向东, 杜云艳, 谢传节. 2017. 京津冀地区人口规模调控政策参数化路径与系统模拟. 地理科学进展, 36(1): 34-45.

112. Wan Y, Zhou C H, Pei T*. 2017. Semantic-Geographic Trajectory Pattern Mining Based on a New Similarity Measurement. ISPRS International Journal of Geo-Information, 6(7): 212.

113. Xu J*, Li A Y, Li D, Liu Y, Du Y Y, Pei T, Ma T, Zhou C H. 2017. Difference of urban development in China from the perspective of passenger transport around Spring Festival. Applied Geography, 87: 85-96. 

114. 王淑强, 青秀玲*, 王晶, 陈卉, 崔璟, 王绍强, 裴韬, 佟学思, 刘啸, 赵航, 杜涛. 2017. 基于文献计量方法的国际地理科学研究机构竞争力分析. 地理学报, 72(9): 1702-1716. 

2016

115. Shu H, Song C, Pei T*, Xu L M, Ou Y, Zhang L B, Li T. 2016. Queuing Time Prediction Using WiFi Positioning Data in an Indoor Scenario. Sensors, 16(11): 1958.

116. 杨格格, 宋辞, 裴韬*, 周成虎, 舒华, 张加. 2016. 北京对外交通枢纽乘客OD时空分布特征. 地球信息科学学报, 18(10): 1374-1383.

117. 舒华, 宋辞, 裴韬*. 2016. 室内定位数据分析与应用研究进展. 地理科学进展, 35(5): 580-588.

118. Yang G G, Song C, Shu H, Zhang J, Pei T*, Zhou C H. 2016. Assessing Patient bypass Behavior Using Taxi Trip Origin–Destination (OD) Data. ISPRS International Journal of Geo-Information, 5(9): 157.

119. Ma X Y, Pei T*, Song C, Zhou C H. 2016. A new assessment model for evacuation vulnerability in urban areas. International Journal of Geographical Information Science, 30(12): 2401-2420.

2015

120. Pei T, Wang W Y, Zhang H C, Ma T, Du Y Y, Zhou C H*. 2015. Density-based clustering for data containing two types of points. International Journal of Geographical Information Science, 29(2): 175-193.

121. Yu X P, Pei T, Gai K K*, Guo L. 2015. Analysis on Urban Collective Call Behavior to Earthquake. IEEE 17th International Conference on High Performance Computing and Communications, 1302-1307. 

122. Song C, Pei T, Yao L*. 2015. Analysis of the Characteristics and Evolution Modes of PM2.5 Pollution Episodes in Beijing, China During 2013. International Journal of Environmental Research and Public Health, 12(2): 1099-1111. 

123. Ma T*, Zhou Y K, Zhou C H, Haynie S, Pei T, Xu T. 2015. Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSP/OLS satellite data. Remote Sensing of Environment, 158: 453-464. 

2014

124. Pei T, Sobolevsky S*, Ratti C, Shaw S L, Li T, Zhou C H. 2014. A new insight into land use classification based on aggregated mobile phone data. International Journal of Geographical Information Science, 28(9): 1988-2007.

125. Pei T*, Sobolevsky S, Ratti C, Amini A, Li T, Zhou C H. 2014. Uncovering the Directional Heterogeneity of an Aggregated Mobile Phone Network. Transactions in GIS, 18(S1): 126-142.

126. Song C, Pei T*, Zhou C H. 2014. The role of changing multiscale temperature variability in extreme temperature events on the eastern and central Tibetan Plateau during 1960-2008. International Journal of Climatology, 34(14): 3683-3701.

127. 刘汉丽, 裴韬*, 周成虎. 2014. 用于时间序列聚类分析的小波变换和特征量提取方法. 测绘科学技术学报, 31(4): 372-376+382. 

128. 袁烨城, 刘海江*, 裴韬, 高锡章. 2014. 基于语义知识的空间关系识别研究. 地球信息科学学报, 16(5): 681-690. 

129. 李婷, 裴韬, 袁烨城*, 宋辞, 王维一, 杨格格. 2014. 人类活动轨迹的分类、模式和应用研究综述. 地理科学进展, 33(7): 938-948. 

130. Ma T*, Zhou C H, Pei T, Haynie S, Fan J F. 2014. Responses of Suomi-NPP VIIRS-derived nighttime lights to socioeconomic activity in China’s cities. Remote Sensing Letters, 5(2): 165-174. 

2013

131. 裴韬*, 李婷, 周成虎. 2013. 时空点过程：一种新的地学数据模型、分析方法和观察视角. 地球信息科学学报, 15(6): 793-800.

132. Song C, Pei T*, Zhou C H, He Y W. 2013. Patterns of Multiscale Temperature Variability over the Eastern and Central Tibetan Plateau During 1960-2008. Acta Meteorologica Sinica, 27(4): 521-540.

133. 王维一, 裴韬*, 秦承志. 2013. 栅格地理数据模糊C均值聚类算法的并行化研究. 地理与地理信息科学, 29(4): 77-80+90.

134. Pei T, Gong X, Shaw S L, Ma T, Zhou C H*. 2013. Clustering of temporal event processes. International Journal of Geographical Information Science, 27(3): 484-510.

135. 余晓平, 裴韬*. 2013. 手机通话网络度特征分析. 物理学报. 62(20): 1-11.

136. Ma T, Zhou C H*, Pei T, Xie Y C. 2013. A comparative analysis of changes in the phasing of temperature and satellite-derived greenness at northern latitudes. Journal of Geographical Sciences, 23(1): 57-66. 

2012

137. 宋辞, 裴韬*, 周成虎. 2012. 1960年以来青藏高原气温变化研究进展. 地理科学进展, 31(11): 1503-1509.

138. 宋辞, 裴韬*. 2012. 基于特征的时间序列聚类方法研究进展. 地理科学进展, 31(10): 1307-1317.

139. Pei T, Gao J H, Ma T, Zhou C H*. 2012. Multi-scale decomposition of point process data. GeoInformatica, 16(4): 625-652.

140. Wan Y, Pei T*, Zhou C H, Jiang Y, Qu C X, Qiao Y L. 2012. ACOMCD: A multiple cluster detection algorithm based on the spatial scan statistic and ant colony optimization. Computational Statistics & Data Analysis, 56(2): 283-296.

141. Ma T*, Zhou C H, Pei T, Haynie S, Fan J F. 2012. Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities. Remote Sensing of Environment, 124: 99-107. 

142. Ma T*, Zhou C H, Pei T. 2012. Simulating and estimating tempo-spatial patterns in global human appropriation of net primary production (HANPP): A consumption-based approach. Ecological Indicators, 23: 660-667. 

2011

143. 刘汉丽, 裴韬*, 周成虎, 朱阿兴. 2011. 结合MNF变换与灰值形态学的三江平原多光谱、多时相MODIS遥感影像分类. 武汉大学学报（信息科学版）, 36(2): 153-156+253.

144. 孙嘉, 裴韬*, 龚玺, 周成虎. 2011. Web时空数据挖掘研究进展. 地球科学进展, 26(4): 449-459.

145. 龚玺, 裴韬*, 孙嘉, 罗明. 2011. 时空轨迹聚类方法研究进展. 地理科学进展, 30(5): 522-534.

146. Pei T*. 2011. A Nonparametric Index for Determining the Numbers of Events in Clusters. Mathematical Geoscience, 43: 345-362.

147. 杨琳*, 朱阿兴, 秦承志, 李宝林, 裴韬. 2011. 一种基于样点代表性等级的土壤采样设计方法. 土壤学报, 48(5): 938-946. 

148. 李润奎, 朱阿兴*, 李宝林, 裴韬, 秦承志. 2011. 流域水文模型对土壤数据响应的多尺度分析. 地理科学进展, 30(1): 80-86. 

149. Qin C Z*, Zhu A X, Pei T, Li B L, Scholten T, Behrens T, Zhou C H. 2011. An approach to computing topographic wetness index based on maximum downslope gradient. Precision Agriculture, 12: 32-43. 

2010

150. 马晓熠, 裴韬*. 2010. 基于探索性空间数据分析方法的北京市区域经济差异. 地理科学进展, 29(12): 1555-1561.

151. Pei T, Zhou C H*, Zhu A X, Li B L, Qin C Z. 2010. Windowed nearest neighbour method for mining spatio-temporal clusters in the presence of noise. International Journal of Geographical Information Science, 24(6): 925-948.

152. Pei T, Qin C Z, Zhu A X*, Yang L, Luo M, Li B L, Zhou C H. 2010. Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods. Ecological Indicators, 10(3): 610-619.

153. 许珺*, 裴韬, 姚永慧. 2010. 地学知识图谱的定义、内涵和表达方式的探讨. 地球信息科学学报, 12(04): 496-502+509.

154. Zhu A X, Liu F*, Li B L, Pei T, Qin C Z, Liu G H, Wang Y J, Chen Y N, Ma X W, Qi F, Zhou C H. 2010. Differentiation of Soil Conditions over Low Relief Areas Using Feedback Dynamic Patterns. Soil Science Society of America Journal, 74(3): 861-869. 

155. Zhu A X, Yang L*, Li B L, Qin C Z, Pei T, Liu B Y. Construction of membership functions for predictive soil mapping under fuzzy logic. Geoderma, 155(3-4): 164-174. 

2009

156. Pei T*, Zhu A X, Zhou, C H, Li B L, Qin C Z. 2009. Detecting feature from spatial point processes using Collective Nearest Neighbor, Computers. Environment and Urban Systems, 33(6): 435-447.

157. Pei T, Jasra A, Hand D J, Zhu A X, Zhou C H*. 2009. DECODE: a new method for discovering clusters of different densities in spatial data. Data Mining and Knowledge Discovery, 18:337-369.

2007

158. Pei T*, Zhu A X, Zhou C H, Li B L, Qin C Z. 2007. Delineation of support domain of feature in the presence of noise. Computers and Geosciences, 33(7):952-965.

159. Qin C Z*, Zhu A X, Pei T, Li B L, Zhou C H, Yang L. 2007. An adaptive approach to selecting a flow‐partition exponent for a multiple‐flow‐direction algorithm. International Journal of Geographical Information Science, 21(4): 443-458. 

2006

160. Pei T*, Zhu A X, Zhou C H, Li B L, Qin C Z. 2006. A new approach to the nearest‐neighbour method to discover cluster features in overlaid spatial point processes. International Journal of Geographical Information Sciences, 20(2): 153-168.

研究生招生与培养:

招生专业：地图学与地理信息系统

招生方向：时空大数据挖掘、地理人工智能

联系方式：

通讯地址：北京市朝阳区大屯路甲11号 中国科学院地理科学与资源研究所

邮 编：100101

传 真：010-64889630

E-mail地址: peit@lreis.ac.cn