Xuezhi Cang
Postdoctoral Research Associate
Spatial analysis, Fluvial geomorphology, GeoAI
Contact
Building & Room:
3148 SES
Address:
845 West Taylor St.
Email:
Related Sites:
About
I am a geospatial data scientist. My research bridges GIS, programming, and Earth sciences to address challenges in hydrology and geomorphology. I specialize in developing spatial analysis methods, testing fluvial geomorphology hypotheses, and conducting high-resolution stream mapping in complex landscapes , utilizing open-source GIS libraries and high-performance computing.
I am passionate about utilizing spatial perspectives and statistical methods to uncover and analyze spatial patterns, interpret landform evolutionary processes, and predict dynamic changes in both physical and social systems.
Selected Publications
Cang, Xuezhi, & Luo, Wei. (2018). Spatial association detector (SPADE). International Journal of Geographical Information Science, 32(21). doi:10.1080/13658816.2018.1476693
Cang, Xuezhi, & Luo, Wei. (2019). Noachian climatic conditions on Mars inferred from valley network junction angles. Earth and Planetary Science Letters, 526. doi:10.1016/j.epsl.2019.115768
Luo, Wei, Cang, Xuezhi, & Howard, Alan. (2017). New Martian valley network volume estimate consistent with ancient ocean and warm and wet climate. Nature Communications, 8. doi:10.1038/ncomms15766
Education
B.S. in GIS, Nanjing Normal University, China
M.S. in GIC, Capital Normal University, China
Ph.D. in Geography, Northern Illinois University, USA