Dr. Tianyu Li
Ph.D. Mississippi State University, 2017
Assistant Professor
Research Interests: GIScience, CyberGIS and Big Data, Environmental Planning, Text Analytics, Remote Sensing, Time Series Analysis and Time Series Forecasting.
Personal Website: http://tianyuli.info/
Alumni Hall 1403A
618-650-2376
email: [email protected]
Selected Publications
- Li, T. 2024. Spatial Big Data Analytics of Inequity in Access to Live Music Among Disadvantaged Populations. Papers in Applied Geography, 1-16
- Li, T. 2023. Modeling the local geography of country music concerts in U.S. urban areas: insights from big data analysis of live music events. Urban Informatics, 2(1), 4
-
Li, T. 2022. A Spatiotemporal Analysis of Rock Concerts Associated with Demographics and Leisure and Hospitality Employment. Journal of Geovisualization and Spatial Analysis, 6(1), 1-18
- Li, T. 2022. Exploring spatial variations of US rock music concerts in relation to population demographics and leisure and hospitality industry. Annals of GIS
- Li, T. & Meng, Qingmin. & Du, Qian., 2020. Application of Random Effects to Explore the Gulf of Mexico Coastal Forest Dynamics in Relation to Meteorological Factors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 13, 5526-5535.
- Li, T. & Meng, Q., 2020. Forest dynamics in relation to meteorology and soil in the Gulf Coast of Mexico. Science of The Total Environment , 702, 134913.
- Li, T. & Meng, Q., 2018. A mixture emissivity analysis method for urban land surface temperature retrieval from Landsat 8 data. Landscape and Urban Planning , 179, 63-71.
- Li, T. & Meng, Q., 2017. Forest dynamics to precipitation and temperature in the Gulf of Mexico coastal region. International journal of biometeorology, 61(5), 869-879.
- Li, T. & Meng, Q., 2015. Development of an emissivity mixture technique to assess spatial thermal pattern in New Orleans. Proceedings of the 10th Southern Forestry and Natural Resource Management GIS Conference, Athens, GA USA.
- Pan, J. & Li, T., 2013. Extracting desertification from Landsat TM imagery based on spectral mixture analysis and Albedo-Vegetation feature space. Natural hazards, 68(2), 915-927.
- Li, T., Lv, G. & Wen, Y., 2012. Application of land surface temperature inversion based on emissivity mixture analysis at sub-pixel scale in geothermal exploration. In Earth Observation and Remote Sensing Applications (EORSA), 2012 Second International Workshop. 139-143. IEEE.
- Pan, J. & Li, T., 2009. Analysis of Spatial Pattern and Influencing Factors on Population Mobility in Gansu Province Based on ESDA. In Statistics & Information Forum. Vol. 9, p. 012. (in Chinese)
