马廷

中国科学院地理科学与资源研究所

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  • 马廷
  • 研究员

个人简况

男,1976年生,辽宁人,博士,现任中国科学院地理科学与资源研究所研究员,博士生导师。长期从事地理信息建模和空间分析方法研究。主要研究方向包括环境遥感、空间分析与数据挖掘。

教育经历

1995-1999年,北京大学城市与环境学系,学士学位

1999-2002年,北京大学地球与空间科学学院,硕士学位

2003-2006年,中国科学院地理科学与资源研究所,博士学位

工作经历

2006.07-2008.05 中国科学院地理科学与资源研究所,博士后

2008.06-2010.06 Eastern Michigan University,博士后

2011.01-现在中国科学院地理科学与资源研究所,工作

主要科研项目

1. 自然科学基金面上项目(2018-2021)面向人群迁移的事件-地理过程模型研究(No.41771418)项目负责人

2. 科技部重点研发计划(2016-2021)全空间信息建模理论(No.2016YFB0502301)课题负责人

3. 中国科学院前沿学科重点研究项目(2016-2020)全空间地理信息计算方法研究(No.QYZDY-SSW-DQC007-1)课题负责人

4. 国家自然科学基金创新群体项目(2015-2020)大数据支持下的城市演化与空间消费行为研究(No.41421001)课题负责人

5. 特色所培育建设服务项目(2015-2018)大数据时空挖掘关键技术课题负责人

6. 地理所可桢杰出青年学者计划 (2014-2017)城市化的感知、计算和理解(No.2014RC102)项目负责人

7. 自然科学基金面上项目(2014-2017)净初级生产力人类占用定量估算的离散格网模型研究(No.41371379)项目负责人

主要论文

1. T Ma. T Pei, C Song, YX Liu, YY Du, XH Liao, 2019. Understanding geographical patterns of a city’s diurnal rhythm from aggregate data of location-aware services. Transactions in GIS. doi:10.1111/tgis.12508.

2. T Ma, R Zhu, JH Wang, N Zhao, T Pei, YY Du, CH Zhou, J Chen. 2019. A proportional odds model of human mobility and migration patterns. International Journal of Geographical Information Science. doi:10.1080/13658816.2018.1514608.

3. T Ma. 2019. Quantitative responses of satellite-derived night-time light signals to urban depopulation during Chinese New Year. Remote Sensing Letters. doi:10.1080/2150704X.2018. 1530484.

4. S Guo, G Yang, T Pei, T Ma, C Song, H Shu, Y Du, C Zhou. 2019. Analysis of factors affecting urban park service area in Beijing: Perspectives from multi-source geographic data. Landscape and Urban Planning, 181: 103-117. doi: 10.1016/j.landurbplan.2018.09.016.

5. C Song, T Pei, T Ma, Y Du, H Shu, S Guo, Z Fan. 2019. Detecting arbitrarily shaped clusters in origin destination flows using ant colony optimization. International Journal of Geographical Information Science. doi: 10.1080/13658816.2018.1516287.

6. T Ma. 2018. An Estimate of the Pixel-Level Connection between Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Nighttime Lights and Land Features across China. Remote Sensing, 10, 723; doi:10.3390/rs10050723.

7. T Ma. 2018. Multi-Level Relationships between Satellite-Derived Nighttime Lighting Signals and Social Media–Derived Human Population Dynamics. Remote Sensing, 10, 1128; doi:10.3390/rs10071128.

8. T Ma, R Lu, N Zhao, S-L Shaw. 2018. An estimate of rural exodus in China using location-aware data. PlosONE. doi:10.1371/journal.pone.0201458.

9. T Ma, T Xu, L Huang, A Zhou. 2018. A Human Settlement Composite Index (HSCI) Derived from Nighttime Luminosity Associated with Imperviousness and Vegetation Indexes. Remote Sensing, 10, 455; doi:10.3390/rs10030455.

10.Z Fan, T Pei, T Ma, Y Du, C Song, Z Liu, C Zhou. 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. doi: 10.1016/j.compenvurbsys.2018.01.005.

11.T Ma, Z Yin, A Zhou. 2018. Delineating Spatial Patterns in Human Settlements Using VIIRS Nighttime Light Data: A Watershed-Based Partition Approach. Remote Sensing, 10, 465; doi:10.3390/rs10030465.

12.T Ma, 2018. Quantitative Responses of Satellite-Derived Nighttime Lighting Signals to Anthropogenic Land-Use and Land-Cover Changes across China. Remote Sensing, 10, 1447; doi:10.3390/rs10091447.

13.Z Liu, T Ma (*), YY Du, T Pei, J Yi, H Peng. 2018. Mapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records. Transactions in GIS, 22, 494-513, doi: 10.1111/tgis.12323.

14.T Ma, Y Zhan, B Li, CH Zhou, S Haynie. 2016. Quantitative estimation of the velocity urbanization in China Using Nighttime Luminosity Data. Remote Sensing, 8: 94; doi:10.3390/rs8020094.

15.T Ma, YK Zhou, CH Zhou, S Haynie, T Pei, T Xu. 2015. Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSPOLS satellite data. Remote Sensing of Environment, 158: 453-464.

16.Y Xie, T Ma. 2015. A method for delineating a hierarchically networked structure of urban landscape. Urban Geography, 36(6): 947-963.

17.Y Zhou, T Ma (*), C Zhou, T Xu. 2015. Nighttime light derived assessment of regional inequality of socioeconomic development in China. Remote Sensing, 7: 1242-1262.

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

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

20.T Ma, Y Zhou. Y Wang, C Zhou, S Haynie, T Xu. 2014. Diverse relationships between Suomi-NPP VIIRS night-time light and multi-scale socioeconomic activity. Remote Sensing Letters, 5(7): 652-661.

21.T Xu, T Ma (*), C Zhou, Y Zhou. 2014. Characterizing Spatio-Temporal Dynamics of Urbanization in China Using Time Series of DMSPOLS Night Light Data. Remote Sensing, 6: 7708-7731.

22.J Fang, T Ma (*), C Zhou, Y Zhou, T Xu. 2014. Comparative Estimation of Urban Development in Chinas Cities Using Socioeconomic and DMSPOLS Night Light Data. Remote Sensing, 6: 7840-7856.

23.J Fan, C Zhou, T Ma (*), M Ji, Y Zhou, T Xu. 2014. DWSI: An approach to solving the polygon intersection-spreading problem with a parallel union algorithm at the feature layer level. BOLETIM DE CIENCIAS GEODESICAS. 20(1): 159-182.

24.T Ma, C Zhou. T Pei, Y Xie. 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.

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

26.T Ma, C Zhou, T Pei, S Haynie, J Fan. 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.

27.T Ma, C Zhou, T Pei. 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.

28.T Ma, C Zhou, 2012, Climate-associated changes in spring plant phenology in China. International Journal of Biometeorology. 56: 269-275.

29.T Pei, J Gao, T Ma, CH Zhou. 2012. Multi-scale decomposition of point process data. Geoinformatica, 16(4): 625-652.

30.T Ma, C Zhou, Y Xie, B Qin, Y Ou. 2009. A discrete square global grid system based on the parallels plan projection. International Journal of Geographical Information Science, 23(10): 1297-1313.

31.T Ma, C Zhou, T Zhu, Q Cai. 2008. Modelling raindrop impact and splash erosion processes within a spatial cell: a stochastic approach. Earth Surface Processes and Landforms, 33: 712-723.